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        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "gemma-4-e2b-vision-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "gemma-4-e2b-vision",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table.",
        "observed_date": "2026-06-25",
        "os_major": "27",
        "precision": "inferred:int4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 82.4
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "A18 Pro",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "minicpm-v-4-6-iphone17pro-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "minicpm-v-4-6",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table.",
        "observed_date": "2026-06-25",
        "os_major": "27",
        "precision": "inferred:int8",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 53.4
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "minicpm-v-4-6-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "minicpm-v-4-6",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table.",
        "observed_date": "2026-06-25",
        "os_major": "27",
        "precision": "inferred:int8",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 224.3
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "qwen3-6-35b-a3b-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "qwen3-6-35b-a3b",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table. MoE; custom gather_qmm Metal kernel per upstream caveat.",
        "observed_date": "2026-06-25",
        "os_major": "27",
        "precision": "inferred:int8",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 64.9
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "qwen3-6-27b-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "qwen3-6-27b",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table.",
        "observed_date": "2026-06-25",
        "os_major": "27",
        "precision": "inferred:int8",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 15.9
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "glm-4-7-flash-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "glm-4-7-flash",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table. MoE + MLA; custom Metal kernel per upstream caveat.",
        "observed_date": "2026-06-25",
        "os_major": "27",
        "precision": "inferred:int8",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 52.4
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "gemma-4-12b-m4max-gpu-int8-toks",
        "metric": "decode_throughput",
        "model_id": "gemma-4-12b",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table. int8; custom flash-decode kernel.",
        "observed_date": "2026-06-25",
        "os_major": "27",
        "precision": "int8",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 23
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "gemma-4-12b-m4max-gpu-int4-toks",
        "metric": "decode_throughput",
        "model_id": "gemma-4-12b",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table. int4; custom flash-decode kernel.",
        "observed_date": "2026-06-25",
        "os_major": "27",
        "precision": "int4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 33
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "gemma-4-31b-m4max-gpu-int4-toks",
        "metric": "decode_throughput",
        "model_id": "gemma-4-31b",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table. custom flash-decode kernel.",
        "observed_date": "2026-06-25",
        "os_major": "27",
        "precision": "int4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 17.2
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "official-gpt-oss-20b-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "official-gpt-oss-20b",
        "model_verified": false,
        "notes": "Decode throughput from upstream official/ performance table (512/1024 greedy, 5 trials).",
        "observed_date": "2026-06-25",
        "os_major": "unknown",
        "precision": "inferred:MXFP4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 78.1
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "official-qwen3-0-6b-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "official-qwen3-0-6b",
        "model_verified": false,
        "notes": "Decode throughput from upstream official/ performance table (512/1024 greedy, 5 trials).",
        "observed_date": "2026-06-25",
        "os_major": "unknown",
        "precision": "inferred:int4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 484
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "official-qwen3-4b-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "official-qwen3-4b",
        "model_verified": false,
        "notes": "Decode throughput from upstream official/ performance table (512/1024 greedy, 5 trials).",
        "observed_date": "2026-06-25",
        "os_major": "unknown",
        "precision": "inferred:int4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 145.4
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "official-qwen3-8b-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "official-qwen3-8b",
        "model_verified": false,
        "notes": "Decode throughput from upstream official/ performance table (512/1024 greedy, 5 trials).",
        "observed_date": "2026-06-25",
        "os_major": "unknown",
        "precision": "inferred:int4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 94.1
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "official-gemma-3-4b-it-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "official-gemma-3-4b-it",
        "model_verified": false,
        "notes": "Decode throughput from upstream official/ performance table (512/1024 greedy, 5 trials).",
        "observed_date": "2026-06-25",
        "os_major": "unknown",
        "precision": "inferred:int4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 141.5
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "official-gemma-3-12b-it-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "official-gemma-3-12b-it",
        "model_verified": false,
        "notes": "Decode throughput from upstream official/ performance table (512/1024 greedy, 5 trials).",
        "observed_date": "2026-06-25",
        "os_major": "unknown",
        "precision": "inferred:int4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 55.0
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "official-mistral-7b-v0-3-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "official-mistral-7b-v0-3",
        "model_verified": false,
        "notes": "Decode throughput from upstream official/ performance table (512/1024 greedy, 5 trials).",
        "observed_date": "2026-06-25",
        "os_major": "unknown",
        "precision": "inferred:int4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 101.7
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "official-flux-2-klein-4b-m4max-gpu-latency",
        "metric": "image_generation_latency",
        "model_id": "official-flux-2-klein-4b",
        "model_verified": false,
        "notes": "From upstream official/ table. 1024px at 4 steps; stock CoreAIDiffusionPipeline.",
        "observed_date": "2026-06-25",
        "os_major": "unknown",
        "precision": "inferred:int4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "seconds",
        "value": 17.4
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "official-sam-3-m4max-gpu-latency",
        "metric": "segmentation_latency",
        "model_id": "official-sam-3",
        "model_verified": false,
        "notes": "From upstream official/ table. Warm; stock CoreAIImageSegmenter.",
        "observed_date": "2026-06-25",
        "os_major": "unknown",
        "precision": "inferred:fp16",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "seconds_per_image",
        "value": 0.55
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "official-whisper-large-v3-turbo-m4max-gpu-latency",
        "metric": "transcription_latency",
        "model_id": "official-whisper-large-v3-turbo",
        "model_verified": false,
        "notes": "From upstream official/ table. Warm; stock CoreAITranscribe.",
        "observed_date": "2026-06-25",
        "os_major": "unknown",
        "precision": "inferred:fp16",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 180
      },
      {
        "compute_unit": "GPU",
        "confidence": "needs_review",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "official-qwen3-0-6b-m4max-gpu-macos26-toks",
        "metric": "decode_throughput",
        "model_id": "official-qwen3-0-6b",
        "model_verified": false,
        "notes": "Figure recorded at catalog authoring (macOS 26); not reproduced in current upstream, which reports 484 tok/s on M4 Max (macOS 27 beta). Retained for provenance.",
        "observed_date": "2026-06-24",
        "os_major": "26",
        "precision": "inferred:int4",
        "source": "john-rocky-coreai-model-zoo",
        "superseded_by": "official-qwen3-0-6b-m4max-gpu-toks",
        "unit": "tokens_per_second",
        "value": 1121
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "A18 Pro",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "minicpm5-1b-iphone17pro-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "minicpm5-1b",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table. int8 lossless (24/24 exact vs HF).",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "int8",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 66.8
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "minicpm5-1b-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "minicpm5-1b",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "int8",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 59.4
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "A18 Pro",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "fastcontext-1-0-4b-iphone17pro-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "fastcontext-1-0-4b",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table. ANE inference unsupported.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "int4",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 20.4
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "A18 Pro",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "bitcpm-8b-iphone17pro-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "bitcpm-8b",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table. Custom 2-bit packed-GEMM kernel; ~2.1 GB resident.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "1.58-bit ternary",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 17
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "bitcpm-8b-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "bitcpm-8b",
        "model_verified": false,
        "notes": "Decode throughput from upstream README table. Engine token-identical to torch ternary reference.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "1.58-bit ternary",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 62.7
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "yolox-s-m4max-gpu-latency",
        "metric": "inference_latency",
        "model_id": "yolox-s",
        "model_verified": false,
        "notes": "Median inference latency; 208 FPS on M4 Max GPU.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp32",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 4.8
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "A18 Pro",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": true,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "yolox-s-iphone17pro-gpu-latency",
        "metric": "inference_latency",
        "model_id": "yolox-s",
        "model_verified": false,
        "notes": "~45 model FPS on-device; first load specializes in ~2.6s.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp32",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 22
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "A18 Pro",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-aot",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "parakeet-tdt-0-6b-iphone17pro-gpu-rtf",
        "metric": "realtime_factor",
        "model_id": "parakeet-tdt-0-6b",
        "model_verified": false,
        "notes": "14.84s clip transcribes in 0.31s warm (47.9× real-time). AOT-compiled encoder bundle.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp16",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "realtime_factor",
        "value": 47.9
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "rf-detr-nano-m4max-gpu-latency",
        "metric": "inference_latency",
        "model_id": "rf-detr-nano",
        "model_verified": false,
        "notes": "~116 FPS on M4 Max GPU. iPhone 17 Pro ~25ms / 33-39 FPS end-to-end.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp32",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 8.6
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "rf-detr-small-m4max-gpu-latency",
        "metric": "inference_latency",
        "model_id": "rf-detr-small",
        "model_verified": false,
        "notes": "~83 FPS on M4 Max GPU.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp32",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 12.0
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "rf-detr-medium-m4max-gpu-latency",
        "metric": "inference_latency",
        "model_id": "rf-detr-medium",
        "model_verified": false,
        "notes": "~68 FPS on M4 Max GPU. iPhone 17 Pro 56-63ms / 15-17 FPS.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp32",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 14.8
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "rf-detr-large-m4max-gpu-latency",
        "metric": "inference_latency",
        "model_id": "rf-detr-large",
        "model_verified": false,
        "notes": "~52 FPS on M4 Max GPU.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp32",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 19.1
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "depth-anything-3-small-m4max-gpu-latency",
        "metric": "inference_latency",
        "model_id": "depth-anything-3-small",
        "model_verified": false,
        "notes": "~65.7 FPS; 54.5 MB. iPhone hero config.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp16",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 15.2
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "depth-anything-3-base-m4max-gpu-latency",
        "metric": "inference_latency",
        "model_id": "depth-anything-3-base",
        "model_verified": false,
        "notes": "~26.5 FPS; 202 MB.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp16",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 37.7
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "qwen3-embedding-0-6b-m4max-gpu-latency",
        "metric": "inference_latency",
        "model_id": "qwen3-embedding-0-6b",
        "model_verified": false,
        "notes": "~83 embeddings/s at S=512 grid. Cosine 0.999998 vs torch reference.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp16",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 12.0
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "qwen3-reranker-0-6b-m4max-gpu-latency",
        "metric": "inference_latency",
        "model_id": "qwen3-reranker-0-6b",
        "model_verified": false,
        "notes": "~22 pair-scores/s at S=512 grid. P(yes) within |Δ| < 0.0005.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp16",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 45.7
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "A18 Pro",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "qwen3-vl-2b-iphone17pro-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "qwen3-vl-2b",
        "model_verified": false,
        "notes": "Multimodal oracle 24/24 × 8 runs — token-identical to M4 Max. ~92% of naive BW ceiling.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "int8hu",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 33.5
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "qwen3-vl-2b-m4max-gpu-toks",
        "metric": "decode_throughput",
        "model_id": "qwen3-vl-2b",
        "model_verified": false,
        "notes": "Multimodal sweep 4/4 + decode 16/16 token-exact vs fp32-HF.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "int8hu",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 191.0
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "gemma-4-e4b-m4max-gpu-toks-extra",
        "metric": "decode_throughput",
        "model_id": "gemma-4-e4b",
        "model_verified": false,
        "notes": "Prefill throughput from upstream card. 3.7 GB bundle.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "int4lin-QAT",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "tokens_per_second",
        "value": 53.2
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "parakeet-tdt-0-6b-m4max-gpu-latency",
        "metric": "transcription_latency",
        "model_id": "parakeet-tdt-0-6b",
        "model_verified": false,
        "notes": "0.31s for a 14.84s clip warm; AOT-compiled encoder bundle loads in 3.9s.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "fp16",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "milliseconds",
        "value": 310
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "A18 Pro",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai-pipelined",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "voxcpm-0-5b-iphone17pro-gpu-rtf",
        "metric": "realtime_factor",
        "model_id": "voxcpm-0-5b",
        "model_verified": false,
        "notes": "RTF ~0.9 with int8 backbone + streaming. First-audio 0.43s. 12.5 Hz token rate.",
        "observed_date": "2026-06-29",
        "os_major": "27",
        "precision": "int8",
        "source": "john-rocky-coreai-model-zoo",
        "unit": "realtime_factor",
        "value": 0.9
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "vibevoice-0-5b-m4max-gpu-rtf",
        "metric": "realtime_factor",
        "model_id": "vibevoice-0-5b",
        "model_verified": false,
        "notes": "10.2x faster than real-time streaming TTS.",
        "observed_date": "2026-06-30",
        "os_major": "27",
        "precision": "fp16",
        "source": "gafiatulin-vibevoice-coreai",
        "unit": "realtime_factor",
        "value": 10.2
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "vibevoice-1-5b-m4max-gpu-rtf",
        "metric": "realtime_factor",
        "model_id": "vibevoice-1-5b",
        "model_verified": false,
        "notes": "4.99x RTF multi-speaker TTS with INT8 LM.",
        "observed_date": "2026-06-30",
        "os_major": "27",
        "precision": "int8",
        "source": "gafiatulin-vibevoice-coreai",
        "unit": "realtime_factor",
        "value": 4.99
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": true,
        "id": "vibevoice-7b-m4max-gpu-rtf",
        "metric": "realtime_factor",
        "model_id": "vibevoice-7b",
        "model_verified": false,
        "notes": "2.37x RTF high-quality multi-speaker TTS with INT8/4 LM.",
        "observed_date": "2026-06-30",
        "os_major": "27",
        "precision": "int8",
        "source": "gafiatulin-vibevoice-coreai",
        "unit": "realtime_factor",
        "value": 2.37
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_scripted",
        "higher_is_better": true,
        "id": "vibevoice-asr-m4max-gpu-rtf",
        "metric": "realtime_factor",
        "model_id": "vibevoice-asr",
        "model_verified": false,
        "notes": "11.1x RTF on-device transcription.",
        "observed_date": "2026-06-30",
        "os_major": "27",
        "precision": "int8",
        "source": "gafiatulin-vibevoice-coreai",
        "unit": "realtime_factor",
        "value": 11.1
      },
      {
        "compute_unit": "GPU",
        "confidence": "medium",
        "device_class": "M4 Max",
        "device_verified": false,
        "environment": {
          "battery_state": "unknown",
          "engine": "coreai",
          "low_power_mode": false,
          "protocol_version": "0",
          "thermal_state": "unknown"
        },
        "extraction_method": "upstream_readme_manual",
        "higher_is_better": false,
        "id": "gemma-4-12b-assistant-m4max-gpu-latency",
        "metric": "inference_latency",
        "model_id": "gemma-4-12b-assistant-warshanks",
        "model_verified": false,
        "notes": "~3ms per draft step vs ~21ms for the 12B main model.",
        "observed_date": "2026-06-30",
        "os_major": "27",
        "precision": "int4",
        "source": "warshanks-gemma-4-12b-coreai",
        "unit": "milliseconds",
        "value": 3
      }
    ],
    "metadata": {
      "count": 65,
      "source": "benchmarks.jsonl"
    }
  },
  "catalog": {
    "metadata": {
      "description": "Compact, source-grounded catalog of Apple Core AI models, artifacts, capabilities, modalities, runtime metadata, device support and sources.",
      "last_verified": "2026-07-04",
      "name": "Core AI Catalog",
      "repo": "coreai-catalog",
      "upstream": [
        "coreai-model-zoo",
        "apple/coreai-models"
      ],
      "version": "2.2.3"
    },
    "models": [
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "qwen3-5-0-8b",
        "bundle_kind": "llm",
        "capabilities": [
          "chat",
          "text-generation"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Qwen",
        "id": "qwen3-5-0-8b",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "Qwen3.5-0.8B",
        "notes": "Top-1 exact vs Hugging Face reference according to upstream.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": true,
          "processor_required": false,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "969MB",
          "parameters": "0.8B",
          "precision": "int8",
          "quantization": "int8lin"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/qwen3.5.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "Qwen/Qwen3.5-0.8B"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "qwen3-5-2b",
        "bundle_kind": "llm",
        "capabilities": [
          "chat",
          "text-generation"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Qwen",
        "id": "qwen3-5-2b",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "Qwen3.5-2B",
        "notes": "Top-1 exact vs Hugging Face reference according to upstream.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": true,
          "processor_required": false,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "not_published",
          "parameters": "2B",
          "precision": "int8",
          "quantization": "int8lin"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/qwen3.5.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": true,
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          "moe"
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          "iphone": false,
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        "family": "Qwen",
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          "iphone": false,
          "mac": true,
          "mac_only": true
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        "family": "Qwen",
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          "aot_required": false,
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        "architecture": "transformer",
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        "artifact_ref": "glm-4-7-flash",
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          "chat",
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          "moe",
          "mla"
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        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": false,
          "mac": true,
          "mac_only": true
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        "family": "GLM",
        "id": "glm-4-7-flash",
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        "license": {
          "commercial_use": "check_license",
          "name": "MIT"
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        "maturity": "experimental",
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          "iphone": true,
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          "mac_only": false
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        "family": "Gemma",
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        "license": {
          "commercial_use": "check_license",
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        "family": "Gemma",
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        "confidence": "medium",
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        "family": "Gemma",
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        "family": "LFM",
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        "family": "LFM",
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        "family": "Granite",
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        "upstream_repo": "Nanbeige/Nanbeige4.1-3B"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "qwen3-vl-2b",
        "bundle_kind": "vlm",
        "capabilities": [
          "vision-language"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Qwen",
        "id": "qwen3-vl-2b",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image",
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "Qwen3-VL 2B",
        "notes": "Vision-language model.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": true,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "2.3GB",
          "parameters": "2B",
          "precision": "int8",
          "quantization": "int8hu"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/qwen3-vl.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "Qwen/Qwen3-VL-2B-Instruct"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "qwen3-vl-4b",
        "bundle_kind": "vlm",
        "capabilities": [
          "vision-language"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Qwen",
        "id": "qwen3-vl-4b",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image",
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "Qwen3-VL 4B",
        "notes": "Vision-language model.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": true,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "not_published",
          "parameters": "4B",
          "precision": "int8",
          "quantization": "int8hu"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/qwen3-vl.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "Qwen/Qwen3-VL-4B-Instruct"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "qwen3-vl-8b",
        "bundle_kind": "vlm",
        "capabilities": [
          "vision-language"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Qwen",
        "id": "qwen3-vl-8b",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image",
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "Qwen3-VL 8B",
        "notes": "Vision-language model.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": true,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "not_published",
          "parameters": "8B",
          "precision": "int8",
          "quantization": "int8hu"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/qwen3-vl.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "Qwen/Qwen3-VL-8B-Instruct"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "minicpm-v-4-6",
        "bundle_kind": "vlm",
        "capabilities": [
          "vision-language"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "MiniCPM",
        "id": "minicpm-v-4-6",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAILanguageModels",
            "init_pattern": "let engine = try await CoreAIRunner(contentsOf: bundleURL).makeInferenceEngine()",
            "type": "CoreAIRunner"
          },
          "files": {
            "tokenizer_ref": "gpu-pipelined/minicpmv46_vlm_decode_int8hu/tokenizer"
          },
          "inputs": [
            {
              "modality": "image",
              "name": "image",
              "swift_type": "URL",
              "tensor": {
                "dtype": "fp16",
                "layout": "NCHW",
                "shape": [
                  1,
                  3,
                  448,
                  448
                ]
              }
            },
            {
              "constraints": {
                "max_context": 4096
              },
              "modality": "text",
              "name": "prompt",
              "swift_type": "String"
            }
          ],
          "outputs": [
            {
              "decoding": {
                "detokenization": "embedded tokenizer (openbmb/MiniCPM-V-4.6, vocab 248094)"
              },
              "name": "response",
              "swift_type": "String"
            }
          ],
          "session": {
            "stateful": true,
            "streaming": true
          }
        },
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image",
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "MiniCPM-V 4.6",
        "notes": "Tiny VLM.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": true,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": true
        },
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          "parameters": "sub-2B",
          "precision": "int8",
          "quantization": "int8hu"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/minicpm-v-4.6.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "openbmb/MiniCPM-V-4.6"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "gemma-4-e2b-vision",
        "bundle_kind": "vlm",
        "capabilities": [
          "vision-language"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Gemma",
        "id": "gemma-4-e2b-vision",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "check_license",
          "name": "Gemma Terms"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image",
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "Gemma 4 E2B Vision",
        "notes": "Image+text to text.",
        "runtime": {
          "aot_required": true,
          "custom_kernel": false,
          "patch_required": true,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": true
        },
        "size": {
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          "parameters": "E2B",
          "precision": "int4",
          "quantization": "int4linsym"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/gemma4-vl.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": true
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "unlimited-ocr",
        "bundle_kind": "ocr",
        "capabilities": [
          "document-ocr"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Unlimited-OCR",
        "id": "unlimited-ocr",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAI",
            "init_pattern": "let vision = try await AIModel(contentsOf: visionURL); let decoder = try await AIModel(contentsOf: decoderURL)",
            "type": "AIModel"
          },
          "files": {
            "processor_ref": "assets/recipe.json",
            "tokenizer_ref": "tokenizer"
          },
          "inputs": [
            {
              "constraints": {
                "max_image_px": 640
              },
              "modality": "image",
              "name": "document_image",
              "preprocessing": {
                "color_format": "RGB",
                "normalization": "mean=0.5 std=0.5 (all channels)",
                "resize": "pad to 640x640 (ImageOps.pad; pad color = mean*255)"
              },
              "swift_type": "CGImage"
            },
            {
              "modality": "text",
              "name": "prompt_input_ids",
              "swift_type": "[Int32]",
              "tensor": {
                "dtype": "int32",
                "shape": [
                  115
                ]
              }
            }
          ],
          "outputs": [
            {
              "decoding": {
                "detokenization": "greedy decode to eos id 1; detokenize with tokenizer/ (LlamaTokenizerFast)",
                "format_selector": "fixed prompt prefix (assets/prompt_input_ids.i32) — output interleaves markdown, HTML tables and LaTeX formulas; not prompt-selectable"
              },
              "name": "text",
              "swift_type": "String"
            }
          ]
        },
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "check_license",
          "name": "MIT"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "document_image",
            "image"
          ],
          "output": [
            "markdown",
            "html",
            "latex"
          ]
        },
        "name": "Unlimited-OCR",
        "notes": "Document OCR to markdown; tables to HTML; formulas to LaTeX.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "stock-runner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": "unknown"
        },
        "size": {
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          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/unlimited-ocr.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
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        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
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          "format": "aimodel"
        },
        "artifact_ref": "qwen2-5-omni-3b-audio",
        "bundle_kind": "audio-lm",
        "capabilities": [
          "audio-understanding"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Qwen",
        "id": "qwen2-5-omni-3b-audio",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "audio"
          ],
          "output": [
            "text"
          ]
        },
        "name": "Qwen2.5-Omni-3B Audio",
        "notes": "Audio understanding; describes sounds, not literal transcript.",
        "runtime": {
          "aot_required": true,
          "custom_kernel": false,
          "patch_required": true,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "5.1GB",
          "parameters": "3B",
          "precision": "int8",
          "quantization": "int8lin"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/knowledge/qwen2.5-omni-audio-understanding.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-knowledge"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "Qwen/Qwen2.5-Omni-3B"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "kokoro-82m",
        "bundle_kind": "tts",
        "capabilities": [
          "text-to-speech"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Kokoro",
        "id": "kokoro-82m",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "audio"
          ]
        },
        "name": "Kokoro-82M",
        "notes": "StyleTTS2 + iSTFTNet; 28 English voices.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "335MB",
          "parameters": "82M",
          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/kokoro-82m.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo",
          "coreai-model-zoo-knowledge"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "hexgrad/Kokoro-82M"
      },
      {
        "architecture": "transformer",
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        "artifact_ref": "voxcpm-0-5b",
        "bundle_kind": "tts",
        "capabilities": [
          "text-to-speech"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "VoxCPM",
        "id": "voxcpm-0-5b",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "audio"
          ]
        },
        "name": "VoxCPM-0.5B",
        "notes": "Diffusion TTS.",
        "runtime": {
          "aot_required": true,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "1.0GB",
          "parameters": "0.5B",
          "precision": "int8",
          "quantization": "int8-LM"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/knowledge/voxcpm-tts.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-knowledge"
        ],
        "status": "confirmed",
        "streaming": true
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "embeddinggemma-300m",
        "bundle_kind": "embedding",
        "capabilities": [
          "embedding"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Gemma",
        "id": "embeddinggemma-300m",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "check_license",
          "name": "Gemma Terms"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "vector"
          ]
        },
        "name": "EmbeddingGemma 300M",
        "notes": "Text embeddings for on-device RAG / semantic search.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": true
        },
        "size": {
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          "parameters": "300M",
          "precision": "fp16",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo",
        "sources": [
          "coreai-model-zoo-readme"
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        "status": "confirmed",
        "streaming": false,
        "upstream_repo": "google/embeddinggemma-300m"
      },
      {
        "architecture": "transformer",
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          "availability": "available",
          "format": "aimodel"
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        "artifact_ref": "qwen3-embedding-0-6b",
        "bundle_kind": "embedding",
        "capabilities": [
          "embedding"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Qwen",
        "id": "qwen3-embedding-0-6b",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAI",
            "init_pattern": "let model = try await AIModel(contentsOf: aimodelURL)",
            "type": "AIModel"
          },
          "files": {
            "tokenizer_ref": "tokenizer"
          },
          "inputs": [
            {
              "constraints": {
                "max_context": 512
              },
              "modality": "text",
              "name": "text"
            }
          ],
          "outputs": [
            {
              "decoding": {
                "embedding_dim": 1024,
                "format_selector": "last-token pooling, L2-normalized; MRL-truncatable to 32..1024 dims"
              },
              "name": "embedding",
              "swift_type": "[Float]"
            }
          ]
        },
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "vector"
          ]
        },
        "name": "Qwen3-Embedding 0.6B",
        "notes": "Multilingual embeddings; last-token pooling + MRL.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "1.1GB",
          "parameters": "0.6B",
          "precision": "fp16",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/qwen3-embedding.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false,
        "upstream_repo": "Qwen/Qwen3-Embedding-0.6B"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "qwen3-reranker-0-6b",
        "bundle_kind": "reranker",
        "capabilities": [
          "reranking"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Qwen",
        "id": "qwen3-reranker-0-6b",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAI",
            "init_pattern": "let model = try await AIModel(contentsOf: aimodelURL)",
            "type": "AIModel"
          },
          "files": {
            "tokenizer_ref": "tokenizer"
          },
          "inputs": [
            {
              "constraints": {
                "max_context": 512
              },
              "modality": "text",
              "name": "query"
            },
            {
              "modality": "text",
              "name": "documents"
            }
          ],
          "outputs": [
            {
              "decoding": {
                "score_range": "0..1 — probs[1] = P(yes) = relevance"
              },
              "name": "score",
              "swift_type": "Float"
            }
          ]
        },
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "query",
            "documents"
          ],
          "output": [
            "score"
          ]
        },
        "name": "Qwen3-Reranker 0.6B",
        "notes": "Cross-encoder reranker.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "1.1GB",
          "parameters": "0.6B",
          "precision": "fp16",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/qwen3-reranker.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false,
        "upstream_repo": "Qwen/Qwen3-Reranker-0.6B"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "rf-detr-nano",
        "bundle_kind": "object-detection",
        "capabilities": [
          "object-detection"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "RF-DETR",
        "id": "rf-detr-nano",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAIObjectDetector",
            "init_pattern": "let detector = try await ObjectDetector(resourcesAt: \"<install-dir>/rfdetr-nano_float32.aimodel\")",
            "type": "ObjectDetector"
          },
          "inputs": [
            {
              "modality": "image",
              "name": "image",
              "preprocessing": {
                "color_format": "RGB",
                "normalization": "RGB scaled to [0,1] (DetectionParameters normalizationMeans/Stds)"
              },
              "swift_type": "CGImage"
            }
          ],
          "outputs": [
            {
              "decoding": {
                "coordinate_convention": "boundingBox: pixel CGRect, top-left origin (decoded from 300 normalized cxcywh queries; no NMS)",
                "label_vocab_ref": "COCO 91-id logit columns; ObjectDetectionLabels.coco default mapping"
              },
              "name": "detections",
              "swift_type": "[DetectedObject]"
            }
          ]
        },
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
          ],
          "output": [
            "boxes",
            "classes",
            "scores"
          ]
        },
        "name": "RF-DETR Nano",
        "notes": "Object detection; no NMS.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "108MB",
          "parameters": "nano",
          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/rf-detr.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "rf-detr-small",
        "bundle_kind": "object-detection",
        "capabilities": [
          "object-detection"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "RF-DETR",
        "id": "rf-detr-small",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAIObjectDetector",
            "init_pattern": "let detector = try await ObjectDetector(resourcesAt: \"<install-dir>/rfdetr-small_float32.aimodel\")",
            "type": "ObjectDetector"
          },
          "inputs": [
            {
              "modality": "image",
              "name": "image",
              "preprocessing": {
                "color_format": "RGB",
                "normalization": "RGB scaled to [0,1] (DetectionParameters normalizationMeans/Stds)"
              },
              "swift_type": "CGImage"
            }
          ],
          "outputs": [
            {
              "decoding": {
                "coordinate_convention": "boundingBox: pixel CGRect, top-left origin (decoded from 300 normalized cxcywh queries; no NMS)",
                "label_vocab_ref": "COCO 91-id logit columns; ObjectDetectionLabels.coco default mapping"
              },
              "name": "detections",
              "swift_type": "[DetectedObject]"
            }
          ]
        },
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
          ],
          "output": [
            "boxes",
            "classes",
            "scores"
          ]
        },
        "name": "RF-DETR Small",
        "notes": "Object detection; no NMS.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "115MB",
          "parameters": "small",
          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/rf-detr.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "rf-detr-medium",
        "bundle_kind": "object-detection",
        "capabilities": [
          "object-detection"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "RF-DETR",
        "id": "rf-detr-medium",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAIObjectDetector",
            "init_pattern": "let detector = try await ObjectDetector(resourcesAt: \"<install-dir>/rfdetr-medium_float32.aimodel\")",
            "type": "ObjectDetector"
          },
          "inputs": [
            {
              "modality": "image",
              "name": "image",
              "preprocessing": {
                "color_format": "RGB",
                "normalization": "RGB scaled to [0,1] (DetectionParameters normalizationMeans/Stds)"
              },
              "swift_type": "CGImage"
            }
          ],
          "outputs": [
            {
              "decoding": {
                "coordinate_convention": "boundingBox: pixel CGRect, top-left origin (decoded from 300 normalized cxcywh queries; no NMS)",
                "label_vocab_ref": "COCO 91-id logit columns; ObjectDetectionLabels.coco default mapping"
              },
              "name": "detections",
              "swift_type": "[DetectedObject]"
            }
          ]
        },
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
          ],
          "output": [
            "boxes",
            "classes",
            "scores"
          ]
        },
        "name": "RF-DETR Medium",
        "notes": "Object detection; no NMS.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "121MB",
          "parameters": "medium",
          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/rf-detr.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "rf-detr-large",
        "bundle_kind": "object-detection",
        "capabilities": [
          "object-detection"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "RF-DETR",
        "id": "rf-detr-large",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAIObjectDetector",
            "init_pattern": "let detector = try await ObjectDetector(resourcesAt: \"<install-dir>/rfdetr-large_float32.aimodel\")",
            "type": "ObjectDetector"
          },
          "inputs": [
            {
              "modality": "image",
              "name": "image",
              "preprocessing": {
                "color_format": "RGB",
                "normalization": "RGB scaled to [0,1] (DetectionParameters normalizationMeans/Stds)"
              },
              "swift_type": "CGImage"
            }
          ],
          "outputs": [
            {
              "decoding": {
                "coordinate_convention": "boundingBox: pixel CGRect, top-left origin (decoded from 300 normalized cxcywh queries; no NMS)",
                "label_vocab_ref": "COCO 91-id logit columns; ObjectDetectionLabels.coco default mapping"
              },
              "name": "detections",
              "swift_type": "[DetectedObject]"
            }
          ]
        },
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
          ],
          "output": [
            "boxes",
            "classes",
            "scores"
          ]
        },
        "name": "RF-DETR Large",
        "notes": "Object detection; no NMS.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "122MB",
          "parameters": "large",
          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/rf-detr.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "rf-detr-seg-nano",
        "bundle_kind": "segmentation",
        "capabilities": [
          "instance-segmentation"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "RF-DETR-Seg",
        "id": "rf-detr-seg-nano",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
          ],
          "output": [
            "masks",
            "boxes",
            "classes",
            "scores"
          ]
        },
        "name": "RF-DETR-Seg Nano",
        "notes": "Instance segmentation.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "108MB",
          "parameters": "nano",
          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/rf-detr.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "rf-detr-seg-small",
        "bundle_kind": "segmentation",
        "capabilities": [
          "instance-segmentation"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "RF-DETR-Seg",
        "id": "rf-detr-seg-small",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
          ],
          "output": [
            "masks",
            "boxes",
            "classes",
            "scores"
          ]
        },
        "name": "RF-DETR-Seg Small",
        "notes": "Instance segmentation.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "115MB",
          "parameters": "small",
          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/rf-detr.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "rf-detr-seg-medium",
        "bundle_kind": "segmentation",
        "capabilities": [
          "instance-segmentation"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "RF-DETR-Seg",
        "id": "rf-detr-seg-medium",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
          ],
          "output": [
            "masks",
            "boxes",
            "classes",
            "scores"
          ]
        },
        "name": "RF-DETR-Seg Medium",
        "notes": "Instance segmentation.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "121MB",
          "parameters": "medium",
          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/rf-detr.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "rf-detr-seg-large",
        "bundle_kind": "segmentation",
        "capabilities": [
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        ],
        "confidence": "medium",
        "device_support": {
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          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "RF-DETR-Seg",
        "id": "rf-detr-seg-large",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
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        },
        "modalities": {
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            "image"
          ],
          "output": [
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            "boxes",
            "classes",
            "scores"
          ]
        },
        "name": "RF-DETR-Seg Large",
        "notes": "Instance segmentation.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "122MB",
          "parameters": "large",
          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/rf-detr.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
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          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "rf-detr-seg-xlarge",
        "bundle_kind": "segmentation",
        "capabilities": [
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        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "RF-DETR-Seg",
        "id": "rf-detr-seg-xlarge",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
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        },
        "modalities": {
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          ],
          "output": [
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            "boxes",
            "classes",
            "scores"
          ]
        },
        "name": "RF-DETR-Seg Xlarge",
        "notes": "Instance segmentation.",
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          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "not_published",
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          "precision": "fp32",
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        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/rf-detr.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
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          "format": "aimodel"
        },
        "artifact_ref": "rf-detr-seg-2xlarge",
        "bundle_kind": "segmentation",
        "capabilities": [
          "instance-segmentation"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "RF-DETR-Seg",
        "id": "rf-detr-seg-2xlarge",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
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          "output": [
            "masks",
            "boxes",
            "classes",
            "scores"
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        },
        "name": "RF-DETR-Seg 2Xlarge",
        "notes": "Instance segmentation.",
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          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "not_published",
          "parameters": "2xlarge",
          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/rf-detr.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
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        "artifact_ref": "adcsr-x4",
        "bundle_kind": "super-resolution",
        "capabilities": [
          "super-resolution"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "AdcSR",
        "id": "adcsr-x4",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "check_license",
          "name": "Apache-2.0 + OpenRAIL++"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
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          "output": [
            "image"
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        },
        "name": "AdcSR ×4",
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        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "1.7GB",
          "parameters": "×4",
          "precision": "fp32",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/knowledge/adcsr-super-resolution.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-knowledge"
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        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
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        "artifact_ref": "depth-anything-3-small",
        "bundle_kind": "depth",
        "capabilities": [
          "monocular-depth"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Depth Anything",
        "id": "depth-anything-3-small",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAI",
            "init_pattern": "let model = try await AIModel(contentsOf: aimodelURL)",
            "type": "AIModel"
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          "inputs": [
            {
              "modality": "image",
              "name": "image",
              "preprocessing": {
                "color_format": "RGB",
                "normalization": "RGB scaled to [0,1]"
              }
            }
          ],
          "outputs": [
            {
              "decoding": {
                "format_selector": "relative depth map"
              },
              "name": "depth"
            },
            {
              "decoding": {
                "format_selector": "confidence map"
              },
              "name": "confidence"
            }
          ]
        },
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
          ],
          "output": [
            "depth_map"
          ]
        },
        "name": "Depth Anything 3 Small",
        "notes": "Monocular depth; small variant.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "54.5MB",
          "parameters": "small",
          "precision": "fp16",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/depth-anything-3.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
        ],
        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "depth-anything-3-base",
        "bundle_kind": "depth",
        "capabilities": [
          "monocular-depth"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Depth Anything",
        "id": "depth-anything-3-base",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAI",
            "init_pattern": "let model = try await AIModel(contentsOf: aimodelURL)",
            "type": "AIModel"
          },
          "inputs": [
            {
              "modality": "image",
              "name": "image",
              "preprocessing": {
                "color_format": "RGB",
                "normalization": "RGB scaled to [0,1]"
              }
            }
          ],
          "outputs": [
            {
              "decoding": {
                "format_selector": "relative depth map"
              },
              "name": "depth"
            },
            {
              "decoding": {
                "format_selector": "confidence map"
              },
              "name": "confidence"
            }
          ]
        },
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
          ],
          "output": [
            "depth_map"
          ]
        },
        "name": "Depth Anything 3 Base",
        "notes": "Monocular depth; base variant.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "202MB",
          "parameters": "base",
          "precision": "fp16",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/depth-anything-3.md",
        "sources": [
          "coreai-model-zoo-readme",
          "coreai-model-zoo-zoo"
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        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "official-gpt-oss-20b",
        "bundle_kind": "llm",
        "capabilities": [
          "chat",
          "text-generation",
          "moe"
        ],
        "confidence": "high",
        "device_support": {
          "ipad": "unknown",
          "iphone": false,
          "mac": true,
          "mac_only": true
        },
        "family": "gpt-oss",
        "id": "official-gpt-oss-20b",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "gpt-oss-20B",
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        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "stock-runner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "13GB",
          "parameters": "20B / ~13GB",
          "precision": "MXFP4",
          "quantization": "MXFP4"
        },
        "source_group": "official",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/tree/main/official",
        "sources": [
          "coreai-model-zoo-official",
          "coreai-model-zoo-official-readme"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "openai/gpt-oss-20b"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "official-qwen3-0-6b",
        "bundle_kind": "llm",
        "capabilities": [
          "chat",
          "text-generation"
        ],
        "confidence": "high",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Qwen",
        "id": "official-qwen3-0-6b",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAILanguageModels",
            "init_pattern": "let model = try await CoreAILanguageModel(resourcesAt: bundleURL)",
            "type": "CoreAILanguageModel"
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          "files": {
            "tokenizer_ref": "macos/tokenizer"
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          "inputs": [
            {
              "constraints": {
                "max_context": 4096
              },
              "modality": "text",
              "name": "prompt",
              "swift_type": "String"
            }
          ],
          "outputs": [
            {
              "decoding": {
                "detokenization": "embedded tokenizer (Qwen/Qwen3-0.6B, vocab 151936); LanguageModelSession.respond(to:) returns detokenized text"
              },
              "name": "response",
              "swift_type": "String"
            }
          ],
          "session": {
            "stateful": true,
            "streaming": true
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        },
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "Qwen3 0.6B",
        "notes": "Official-recipe conversion; stock runtime.",
        "runtime": {
          "aot_required": true,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "stock-runner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": true
        },
        "size": {
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          "precision": "int4",
          "quantization": "palettized"
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        "source_group": "official",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/tree/main/official",
        "sources": [
          "coreai-model-zoo-official",
          "coreai-model-zoo-official-readme"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "Qwen/Qwen3-0.6B"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "official-qwen3-4b",
        "bundle_kind": "llm",
        "capabilities": [
          "chat",
          "text-generation"
        ],
        "confidence": "high",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Qwen",
        "id": "official-qwen3-4b",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "Qwen3 4B",
        "notes": "Official-recipe conversion; stock runtime.",
        "runtime": {
          "aot_required": true,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "stock-runner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": true
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        "size": {
          "artifact_size": "not_published",
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          "precision": "int4",
          "quantization": "palettized"
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        "source_group": "official",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/tree/main/official",
        "sources": [
          "coreai-model-zoo-official",
          "coreai-model-zoo-official-readme"
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        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "Qwen/Qwen3-4B"
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      {
        "architecture": "transformer",
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          "availability": "available",
          "format": "aimodel"
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        "artifact_ref": "official-qwen3-8b",
        "bundle_kind": "llm",
        "capabilities": [
          "chat",
          "text-generation"
        ],
        "confidence": "high",
        "device_support": {
          "ipad": "unknown",
          "iphone": false,
          "mac": true,
          "mac_only": true
        },
        "family": "Qwen",
        "id": "official-qwen3-8b",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
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          "output": [
            "text"
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        },
        "name": "Qwen3 8B",
        "notes": "Official-recipe conversion; stock runtime.",
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          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "stock-runner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": true
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        "size": {
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          "precision": "int4",
          "quantization": "palettized"
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        "source_group": "official",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/tree/main/official",
        "sources": [
          "coreai-model-zoo-official",
          "coreai-model-zoo-official-readme"
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        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "Qwen/Qwen3-8B"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
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        "artifact_ref": "official-gemma-3-4b-it",
        "bundle_kind": "llm",
        "capabilities": [
          "chat",
          "instruction-following",
          "text-generation"
        ],
        "confidence": "high",
        "device_support": {
          "ipad": "unknown",
          "iphone": false,
          "mac": true,
          "mac_only": true
        },
        "family": "Gemma",
        "id": "official-gemma-3-4b-it",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "check_license",
          "name": "Gemma Terms"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "text"
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        },
        "name": "Gemma 3 4B IT",
        "notes": "Official-recipe conversion; stock runtime.",
        "runtime": {
          "aot_required": true,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "stock-runner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "not_published",
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          "precision": "int4",
          "quantization": "palettized"
        },
        "source_group": "official",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/tree/main/official",
        "sources": [
          "coreai-model-zoo-official",
          "coreai-model-zoo-official-readme"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "google/gemma-3-4b-it"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
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        "artifact_ref": "official-gemma-3-12b-it",
        "bundle_kind": "llm",
        "capabilities": [
          "chat",
          "instruction-following",
          "text-generation"
        ],
        "confidence": "high",
        "device_support": {
          "ipad": "unknown",
          "iphone": false,
          "mac": true,
          "mac_only": true
        },
        "family": "Gemma",
        "id": "official-gemma-3-12b-it",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "check_license",
          "name": "Gemma Terms"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
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          "output": [
            "text"
          ]
        },
        "name": "Gemma 3 12B IT",
        "notes": "Official-recipe conversion; stock runtime.",
        "runtime": {
          "aot_required": true,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "stock-runner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "not_published",
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          "precision": "int4",
          "quantization": "palettized"
        },
        "source_group": "official",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/tree/main/official",
        "sources": [
          "coreai-model-zoo-official",
          "coreai-model-zoo-official-readme"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "google/gemma-3-12b-it"
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "official-mistral-7b-v0-3",
        "bundle_kind": "llm",
        "capabilities": [
          "chat",
          "text-generation"
        ],
        "confidence": "high",
        "device_support": {
          "ipad": "unknown",
          "iphone": false,
          "mac": true,
          "mac_only": true
        },
        "family": "Mistral",
        "id": "official-mistral-7b-v0-3",
        "last_verified": "2026-06-24",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
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          "output": [
            "text"
          ]
        },
        "name": "Mistral 7B v0.3",
        "notes": "Official-recipe conversion; stock runtime.",
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          "aot_required": true,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "stock-runner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": true
        },
        "size": {
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          "precision": "int4",
          "quantization": "palettized"
        },
        "source_group": "official",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/tree/main/official",
        "sources": [
          "coreai-model-zoo-official",
          "coreai-model-zoo-official-readme"
        ],
        "status": "confirmed",
        "streaming": true,
        "upstream_repo": "mistralai/Mistral-7B-Instruct-v0.3"
      },
      {
        "architecture": "diffusion",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "official-flux-2-klein-4b",
        "bundle_kind": "image-generation",
        "capabilities": [
          "image-generation"
        ],
        "confidence": "high",
        "device_support": {
          "ipad": "unknown",
          "iphone": false,
          "mac": true,
          "mac_only": true
        },
        "family": "FLUX",
        "id": "official-flux-2-klein-4b",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAIDiffusionPipeline",
            "init_pattern": "let pipeline = try await Flux2Pipeline(from: bundleURL, config: configSource, mode: decodeResolution)",
            "type": "Flux2Pipeline"
          },
          "files": {
            "processor_ref": "pipeline.json",
            "tokenizer_ref": "tokenizer"
          },
          "inputs": [
            {
              "modality": "text",
              "name": "prompt",
              "swift_type": "String"
            }
          ],
          "outputs": [
            {
              "decoding": {
                "format_selector": "1024x1024 default (pipeline.json image_size); default_steps 4, guidance 1.0"
              },
              "name": "images",
              "swift_type": "[CGImage]"
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          "macos": "27.0"
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        "modalities": {
          "input": [
            "text"
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          "output": [
            "image"
          ]
        },
        "name": "FLUX.2 klein 4B",
        "notes": "Official diffusion export; stock CoreAIDiffusionPipeline.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
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          "stock_runtime": true,
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          "parameters": "4B / ~4GB",
          "precision": "int4",
          "quantization": "int4-per-block"
        },
        "source_group": "official",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/tree/main/official",
        "sources": [
          "coreai-model-zoo-official",
          "coreai-model-zoo-official-readme"
        ],
        "status": "confirmed",
        "streaming": false,
        "upstream_repo": "black-forest-labs/FLUX.2-klein-4B"
      },
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        "architecture": "cnn/transformer",
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          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
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        "family": "SAM",
        "id": "official-sam-3",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAIImageSegmenter",
            "init_pattern": "let segmenter = try await ImageSegmenter(resourcesAt: bundleDir)",
            "type": "ImageSegmenter"
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            {
              "modality": "image",
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              "swift_type": "CGImage"
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            {
              "constraints": {
                "max_context": 32
              },
              "modality": "text",
              "name": "prompt",
              "swift_type": "String"
            }
          ],
          "outputs": [
            {
              "decoding": {
                "coordinate_convention": "masks decoded to input-image pixel space (SegmentationPostprocessor.decode)",
                "score_range": "segments sorted by score descending"
              },
              "name": "segments",
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            "text"
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            "boxes",
            "scores"
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          "processor_required": true,
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          "parameters": "~1.7GB",
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        "source_path": "https://github.com/john-rocky/coreai-model-zoo/tree/main/official",
        "sources": [
          "coreai-model-zoo-official",
          "coreai-model-zoo-official-readme"
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        "status": "confirmed",
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      {
        "architecture": "transformer",
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          "iphone": true,
          "mac": true,
          "mac_only": false
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        "family": "Whisper",
        "id": "official-whisper-large-v3-turbo",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAI",
            "init_pattern": "let model = try await AIModel(contentsOf: aimodelURL)",
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            "tokenizer_ref": "tokenizer"
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            {
              "constraints": {
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              "modality": "audio",
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                "normalization": "WhisperFeatureExtractor log-mel: 128 mel bins, n_fft 400, hop_length 160",
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                "detokenization": "WhisperTokenizer (tokenizer/); autoregressive decode in a fixed 128-token window"
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              "name": "transcript",
              "swift_type": "String"
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            "classes",
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        "name": "LTX-Video 2B distilled",
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          "custom_kernel": false,
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          "iphone": true,
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        "id": "official-qwen3-1-7b",
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          "name": "Apache-2.0"
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        "modalities": {
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          "output": [
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        "name": "BitVLA",
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          "music-generation"
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        "device_support": {
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          "iphone": false,
          "mac": true,
          "mac_only": true
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        "family": "Stable Audio",
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        "device_support": {
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          "iphone": "unknown",
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        "family": "Whisper",
        "id": "whisper-large-v3-turbo-carstenl",
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        "family": "Whisper",
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        "family": "Whisper",
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        "modalities": {
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          "iphone": false,
          "mac": true,
          "mac_only": true
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        "family": "VibeVoice",
        "id": "vibevoice-1-5b",
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          ],
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            "audio"
          ]
        },
        "name": "VibeVoice 1.5B",
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          "iphone": false,
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        },
        "family": "VibeVoice",
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          "input": [
            "text"
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            "audio"
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          "gafiatulin-vibevoice-coreai"
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          "iphone": false,
          "mac": true,
          "mac_only": true
        },
        "family": "VibeVoice",
        "id": "vibevoice-asr",
        "last_verified": "2026-06-30",
        "license": {
          "commercial_use": "likely",
          "name": "MIT"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "audio"
          ],
          "output": [
            "transcript"
          ]
        },
        "name": "VibeVoice ASR",
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        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIRunner",
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        "source_path": "https://huggingface.co/gafiatulin/vibevoice-asr-coreai",
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          "gafiatulin-vibevoice-coreai"
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        "streaming": true
      },
      {
        "architecture": "transformer",
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          "format": "aimodel"
        },
        "artifact_ref": "nemotron-3-5-asr-streaming",
        "bundle_kind": "asr",
        "capabilities": [
          "speech-to-text"
        ],
        "confidence": "high",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Nemotron",
        "id": "nemotron-3-5-asr-streaming",
        "last_verified": "2026-06-30",
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          "commercial_use": "check_license",
          "name": "OpenMDW-1.1"
        },
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        },
        "modalities": {
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            "audio"
          ],
          "output": [
            "transcript"
          ]
        },
        "name": "Nemotron 3.5 ASR Streaming 0.6B",
        "notes": "NVIDIA FastConformer + RNN-T streaming ASR. Cache-aware 320ms encoder mode. AOT artifacts for iOS (A19 h18p) + macOS (M3-M5). Companion Swift package mweinbach/NemotronCoreAI. Multiple quantization variants (int8, lut6, lut8). 174 files.",
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          "custom_kernel": false,
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          "mweinbach-nemotron-coreai"
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        "streaming": false
      },
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        "confidence": "medium",
        "device_support": {
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          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Z-Image",
        "id": "z-image-turbo",
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        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "image"
          ]
        },
        "name": "Z-Image Turbo",
        "notes": "Tongyi-MAI Z-Image Turbo text-to-image. GPU (fast-512) and ANE (ane-1024, hoisted-adaLN) bundles at 512 and 1024 resolution. For CoreAIStudio on macOS/iOS/iPadOS/visionOS.",
        "runtime": {
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          "custom_kernel": false,
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          "processor_required": true,
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          "stock_runtime": false,
          "tokenizer_required": true
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          "precision": "fp16",
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        "source_group": "external",
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        "streaming": false,
        "upstream_repo": "Tongyi-MAI/Z-Image-Turbo"
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          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "real-esrgan-x4v3",
        "bundle_kind": "super-resolution",
        "capabilities": [
          "super-resolution"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": "unknown",
          "mac": true,
          "mac_only": false
        },
        "family": "Real-ESRGAN",
        "id": "real-esrgan-x4v3",
        "last_verified": "2026-06-30",
        "license": {
          "commercial_use": "likely",
          "name": "BSD-3-Clause"
        },
        "maturity": "active",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
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            "image"
          ],
          "output": [
            "image"
          ]
        },
        "name": "Real-ESRGAN x4v3",
        "notes": "4x super-resolution (SRVGGNetCompact). fp16, 256 tile size. For CoreAIStudio.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "CoreAIImageSegmenter",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
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          "precision": "fp16",
          "quantization": "none"
        },
        "source_group": "external",
        "source_path": "https://huggingface.co/bryanbblewis11/RealESRGAN-x4v3-CoreAI",
        "sources": [
          "bryanbblewis11-coreai"
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        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "cnn/transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "efficientsam3-tinyvit",
        "bundle_kind": "segmentation",
        "capabilities": [
          "promptable-segmentation"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "SAM",
        "id": "efficientsam3-tinyvit",
        "last_verified": "2026-06-30",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "active",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "image"
          ],
          "output": [
            "masks"
          ]
        },
        "name": "EfficientSAM3-TinyViT",
        "notes": "Lightweight promptable segmentation. Hosted by Lenitas app distribution. 392MB total with tokenizer. SHA-256 verified.",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": true,
          "runner": "CoreAIImageSegmenter",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
          "artifact_size": "374MB",
          "parameters": "not_published",
          "precision": "fp16",
          "quantization": "none"
        },
        "source_group": "external",
        "source_path": "https://huggingface.co/lenitas/coreai-artifacts",
        "sources": [
          "lenitas-coreai-artifacts"
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        "status": "confirmed",
        "streaming": false
      },
      {
        "architecture": "recurrent",
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          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "rwkv7-goose-1-5b",
        "bundle_kind": "llm",
        "capabilities": [
          "chat",
          "text-generation"
        ],
        "confidence": "medium",
        "device_support": {
          "ipad": "unknown",
          "iphone": false,
          "mac": true,
          "mac_only": true
        },
        "family": "RWKV",
        "id": "rwkv7-goose-1-5b",
        "last_verified": "2026-07-01",
        "license": {
          "commercial_use": "likely",
          "name": "Apache-2.0"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "RWKV-7 Goose 1.5B",
        "notes": "First pure-recurrent / linear-attention LLM on Core AI. No attention, no KV cache — O(1) per-token decode with constant memory and unbounded context. WKV7 delta-rule matrix-state time-mix + sqrelu channel-mix. int8 weight-only quant (FFN only; recurrence projections kept fp16).",
        "runtime": {
          "aot_required": false,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": true
        },
        "size": {
          "artifact_size": "not_published",
          "parameters": "1.5B",
          "precision": "int8",
          "quantization": "int8-per-block-32"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/conversion/export_rwkv7_decode.py",
        "sources": [
          "coreai-model-zoo-readme",
          "rwkv-upstream"
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        "status": "confirmed",
        "streaming": true
      },
      {
        "architecture": "encoder",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "art-vjepa2-vitl-ssv2",
        "bundle_kind": "video",
        "capabilities": [
          "video-classification"
        ],
        "confidence": "low",
        "device_support": {
          "ipad": "unknown",
          "iphone": false,
          "mac": true,
          "mac_only": true
        },
        "family": "V-JEPA",
        "id": "vjepa2-vitl-ssv2",
        "io_contract": {
          "entrypoint": {
            "framework": "CoreAI",
            "init_pattern": "let model = try await AIModel(contentsOf: aimodelURL)",
            "type": "AIModel"
          },
          "inputs": [
            {
              "modality": "video",
              "name": "pixel_values_videos",
              "preprocessing": {
                "color_format": "RGB",
                "normalization": "RGB 0..1 -> (x - mean)/std, mean=[0.485,0.456,0.406], std=[0.229,0.224,0.225]",
                "resize": "16 frames uniformly sampled, 256x256 center crop"
              },
              "tensor": {
                "dtype": "float16",
                "layout": "B,F,C,H,W",
                "shape": [
                  1,
                  16,
                  3,
                  256,
                  256
                ]
              }
            }
          ],
          "outputs": [
            {
              "decoding": {
                "label_vocab_ref": "labels.json (Something-Something v2, 174 classes)"
              },
              "name": "logits"
            }
          ]
        },
        "last_verified": "2026-07-02",
        "license": {
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          "name": "MIT"
        },
        "maturity": "experimental",
        "min_os": {
          "ios": "27.0",
          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "video"
          ],
          "output": [
            "action-tokens"
          ]
        },
        "name": "V-JEPA 2 ViT-L (SSv2)",
        "notes": "First video world-model on Core AI. JEPA architecture (joint-embedding predictive) from Meta — learns video representations by predicting masked spatiotemporal patches. fp16, AOT h18p specialized. Trained on Something-Something v2 (action recognition). ViT-L backbone.",
        "runtime": {
          "aot_required": true,
          "custom_kernel": false,
          "patch_required": false,
          "processor_required": false,
          "runner": "CoreAIKit-GraphModel",
          "runtime_name": "apple-core-ai",
          "stock_runtime": true,
          "tokenizer_required": false
        },
        "size": {
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          "parameters": "300M",
          "precision": "fp16",
          "quantization": "none"
        },
        "source_group": "zoo",
        "source_path": "https://huggingface.co/mlboydaisuke/VJEPA2-ViTL-SSv2-CoreAI",
        "sources": [
          "coreai-model-zoo-readme",
          "vjepa2-upstream"
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        "status": "unknown",
        "streaming": false,
        "upstream_repo": "facebook/vjepa2-vitl-fpc16-256-ssv2"
      },
      {
        "architecture": "transformer",
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          "format": "aimodel"
        },
        "artifact_ref": "ornith-1-0-9b",
        "bundle_kind": "llm",
        "capabilities": [
          "chat",
          "text-generation",
          "code-generation"
        ],
        "confidence": "high",
        "device_support": {
          "ipad": "unknown",
          "iphone": false,
          "mac": true,
          "mac_only": true
        },
        "family": "Qwen",
        "id": "ornith-1-0-9b",
        "last_verified": "2026-07-03",
        "license": {
          "commercial_use": "likely",
          "name": "MIT"
        },
        "maturity": "experimental",
        "min_os": {
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          "macos": "27.0"
        },
        "modalities": {
          "input": [
            "text"
          ],
          "output": [
            "text"
          ]
        },
        "name": "Ornith 1.0 9B",
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        "runtime": {
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          "custom_kernel": true,
          "patch_required": true,
          "processor_required": false,
          "runner": "CoreAIRunner",
          "runtime_name": "apple-core-ai",
          "stock_runtime": false,
          "tokenizer_required": true
        },
        "size": {
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          "parameters": "9B",
          "precision": "int8",
          "quantization": "int8hu"
        },
        "source_group": "zoo",
        "source_path": "https://github.com/john-rocky/coreai-model-zoo/blob/main/zoo/ornith-1.0-9b.md",
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          "ornith-upstream"
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        "streaming": false
      },
      {
        "architecture": "transformer",
        "artifact": {
          "availability": "available",
          "format": "aimodel"
        },
        "artifact_ref": "qwen3-enhancer",
        "bundle_kind": "llm",
        "capabilities": [
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          "text-generation"
        ],
        "confidence": "high",
        "device_support": {
          "ipad": "unknown",
          "iphone": true,
          "mac": true,
          "mac_only": false
        },
        "family": "Qwen",
        "id": "qwen3-enhancer",
        "last_verified": "2026-07-04",
        "license": {
          "commercial_use": "likely",
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            "text"
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          "output": [
            "text"
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          "runtime_name": "apple-core-ai",
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          "tokenizer_required": true
        },
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          "parameters": "4B",
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        "path": "zoo/",
        "repo": "coreai-model-zoo",
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        "owner": "Intiser",
        "title": "Intiser Whisper CoreAI conversions",
        "trust": "community_secondary",
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        "notes": "First multimodal Gemma 4 Core AI conversion (text+image+audio). Custom conversion recipe extending coreai-models. Includes MTP draft model for speculative decoding. Used in Wyvern Chat.",
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        "title": "warshanks Gemma 4 12B CoreAI conversions",
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        "id": "gafiatulin-vibevoice-coreai",
        "last_checked": "2026-06-30",
        "notes": "VibeVoice TTS and ASR conversion pipeline. Microsoft VibeVoice original weights. 0.5B/1.5B/7B TTS + ASR variants.",
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        "repo": "vibevoice-coreai",
        "title": "gafiatulin VibeVoice CoreAI pipeline",
        "trust": "community_secondary",
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        "volatility": "medium"
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        "id": "mweinbach-nemotron-coreai",
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        "notes": "NVIDIA Nemotron 3.5 streaming ASR with full AOT artifact matrix (iOS A19 + macOS M3-M5). Companion Swift package.",
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        "repo": "NemotronCoreAI",
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        "trust": "community_secondary",
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        "owner": "bryanbblewis11",
        "title": "bryanbblewis11 CoreAI model conversions",
        "trust": "community_secondary",
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        "id": "lenitas-coreai-artifacts",
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        "title": "V-JEPA 2 (Meta)",
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        "last_checked": "2026-07-03",
        "notes": "First-party agent-first conversion pipeline; recipe-based conversions publish artifacts to contributors' own Hugging Face repos and register here via PR.",
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    ]
  },
  "terms": {
    "metadata": {
      "last_verified": "2026-06-29",
      "name": "Core AI Catalog terminology",
      "notes": "Verified Apple AI terminology reference layer. Each term cites an official Apple source and is tagged by ecosystem layer. Reference only -- not affiliation or legal claims.",
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    "terms": [
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        "status": "official",
        "verification": "established_pre_2026"
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      {
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        "definition": "WWDC26 framework for bringing PyTorch models to production on Apple Silicon (LLMs and generative AI); successor to Core ML for generative AI; exports the .aimodel format.",
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        "status": "official",
        "verification": "confirmed_wwdc2026"
      },
      {
        "apple_layer": "developer_framework",
        "definition": "Framework for integrating traditional ML models into apps; predates Core AI and is superseded by it for generative AI; uses .mlpackage / .mlmodel.",
        "id": "core-ml",
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      {
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        "definition": "Open-source array framework for ML on Apple Silicon (research, training, fine-tuning, inference) with unified memory and lazy evaluation; a parallel research/training layer, not a Core AI dependency.",
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        "verification": "established_pre_2026"
      },
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        "apple_layer": "developer_framework",
        "definition": "Framework that connects app content and actions to Apple Intelligence, Siri and Spotlight through schemas, entities and intents.",
        "id": "app-intents",
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        "relations": [
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        "verification": "established_pre_2026"
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        "definition": "Framework for image analysis such as detection, recognition and tracking; Vision tools can be called by the model during generation.",
        "id": "vision",
        "label": "Vision",
        "official_source": "https://developer.apple.com/documentation/vision",
        "status": "official",
        "verification": "established_pre_2026"
      },
      {
        "apple_layer": "developer_framework",
        "definition": "Framework for speech recognition and audio analysis on Apple platforms.",
        "id": "speech",
        "label": "Speech",
        "official_source": "https://developer.apple.com/documentation/speech",
        "status": "official",
        "verification": "established_pre_2026"
      },
      {
        "apple_layer": "developer_framework",
        "definition": "WWDC26 Swift framework (sessions 298/299/335) for measuring intelligence feature quality. API: subject(from:), ModelSample, Metric, Evaluator, ModelJudgeEvaluator, ScoreDimension, TrajectoryExpectation, ToolCallEvaluator. Runs in Swift Testing, supports macOS/iOS/watchOS/visionOS, on-device or against Private Cloud Compute.",
        "id": "evaluations-framework",
        "label": "Evaluations framework",
        "official_source": "https://developer.apple.com/apple-intelligence/whats-new/",
        "relations": [
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        ],
        "status": "official",
        "verification": "confirmed_wwdc2026"
      },
      {
        "apple_layer": "developer_framework",
        "definition": "GPU programming framework; backs the custom Metal kernels some Core AI model conversions require.",
        "id": "metal",
        "label": "Metal",
        "official_source": "https://developer.apple.com/metal/",
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      {
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        "definition": "Public Swift protocol a provider implements so any model (Apple, Claude, Gemini, local) can back a LanguageModelSession without changing app logic.",
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        "relations": [
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        "definition": "Session object that runs prompts and tools against a LanguageModel in the Foundation Models framework.",
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        "official_source": "https://developer.apple.com/documentation/FoundationModels",
        "relations": [
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        "status": "official",
        "verification": "confirmed_wwdc2026"
      },
      {
        "apple_layer": "ai_primitive",
        "definition": "Model invocation of app-provided tools (including Vision tools) during generation.",
        "id": "tool-calling",
        "label": "Tool calling",
        "official_source": "https://developer.apple.com/documentation/FoundationModels",
        "status": "official",
        "verification": "confirmed_wwdc2026"
      },
      {
        "apple_layer": "ai_primitive",
        "definition": "Semantic index that App Intents entity schemas contribute to, so Siri can surface app content with attribution back to the app.",
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        "label": "Spotlight semantic index",
        "official_source": "https://developer.apple.com/documentation/appintents",
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        ],
        "status": "official",
        "verification": "confirmed_wwdc2026"
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      {
        "apple_layer": "artifact_format",
        "definition": "On-device artifact format produced by Core AI from a PyTorch or open model; auto-specializes to the current hardware and OS version on first load (model cache).",
        "id": "aimodel",
        "label": "aimodel format",
        "official_source": "https://developer.apple.com/documentation/coreai/",
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        ],
        "status": "official",
        "verification": "confirmed_wwdc2026"
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        "definition": "Core ML model package format.",
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        "label": "mlpackage format",
        "official_source": "https://developer.apple.com/documentation/coreml",
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        "definition": "Open tensor-serialization format commonly used for original open-model weights on Hugging Face.",
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        "label": "safetensors format",
        "official_source": "https://github.com/huggingface/safetensors",
        "status": "community",
        "verification": "established_pre_2026"
      },
      {
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        "definition": "Python package for converting models from training frameworks to Core ML.",
        "id": "coremltools",
        "label": "Core ML Tools",
        "official_source": "https://github.com/apple/coremltools",
        "status": "official",
        "verification": "established_pre_2026"
      },
      {
        "apple_layer": "developer_tool",
        "definition": "Core AI tooling that converts prepared PyTorch models into the .aimodel format.",
        "id": "core-ai-pytorch-extensions",
        "label": "Core AI PyTorch Extensions",
        "official_source": "https://developer.apple.com/videos/play/wwdc2026/325/",
        "relations": [
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        ],
        "status": "official",
        "verification": "confirmed_wwdc2026"
      },
      {
        "apple_layer": "developer_tool",
        "definition": "App for visualization and numeric debugging of Core AI models, tracing tensor values back to Python source.",
        "id": "core-ai-debugger",
        "label": "Core AI Debugger",
        "official_source": "https://developer.apple.com/videos/play/wwdc2026/325/",
        "status": "official",
        "verification": "confirmed_wwdc2026"
      },
      {
        "apple_layer": "provider_protocol",
        "definition": "Apple adapter that wraps a Core AI .aimodel bundle into a LanguageModel conforming to the Foundation Models framework, enabling session.respond / stream / Tool usage with one-line integration.",
        "id": "coreai-language-model",
        "label": "CoreAILanguageModel",
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        "owner": "black-forest-labs",
        "platform": "huggingface",
        "title": "Black Forest Labs FLUX original model family",
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        "category": "original_model",
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        "notes": "Current Core AI catalog uses Depth Anything 3; keep model-specific upstream under review.",
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  }
}