openapi: 3.0.3 info: title: remediation.proto Audio Models API version: version not set servers: - url: https://api.together.xyz/v1 security: - bearerAuth: [] tags: - name: Models paths: /models: get: tags: - Models summary: List all models description: Lists all of Together's open-source models x-codeSamples: - lang: Python label: Together AI SDK (v2) source: "# Docs for v1 can be found by changing the above selector ^\nfrom together import Together\nimport os\n\nclient = Together(\n api_key=os.environ.get(\"TOGETHER_API_KEY\"),\n)\n\nmodels = client.models.list()\n\nfor model in models:\n print(model.id)\n" - lang: Python label: Together AI SDK (v1) source: "from together import Together\nimport os\n\nclient = Together(\n api_key=os.environ.get(\"TOGETHER_API_KEY\"),\n)\n\nmodels = client.models.list()\n\nfor model in models:\n print(model.id)\n" - lang: TypeScript label: Together AI SDK (TypeScript) source: "import Together from \"together-ai\";\n\nconst client = new Together({\n apiKey: process.env.TOGETHER_API_KEY,\n});\n\nconst models = await client.models.list();\n\nfor (const model of models) {\n console.log(model.id);\n}\n" - lang: JavaScript label: Together AI SDK (JavaScript) source: "import Together from \"together-ai\";\n\nconst client = new Together({\n apiKey: process.env.TOGETHER_API_KEY,\n});\n\nconst models = await client.models.list();\n\nfor (const model of models) {\n console.log(model.id);\n}\n" - lang: Shell label: cURL source: "curl \"https://api.together.ai/v1/models\" \\\n -H \"Authorization: Bearer $TOGETHER_API_KEY\" \\\n -H \"Content-Type: application/json\"\n" operationId: models parameters: - name: dedicated in: query schema: description: Filter models to only return dedicated models type: boolean responses: '200': description: '200' content: application/json: schema: $ref: '#/components/schemas/ModelInfoList' '400': description: BadRequest content: application/json: schema: $ref: '#/components/schemas/ErrorData' '401': description: Unauthorized content: application/json: schema: $ref: '#/components/schemas/ErrorData' '404': description: NotFound content: application/json: schema: $ref: '#/components/schemas/ErrorData' '429': description: RateLimit content: application/json: schema: $ref: '#/components/schemas/ErrorData' '504': description: Timeout content: application/json: schema: $ref: '#/components/schemas/ErrorData' deprecated: false post: tags: - Models summary: Upload a custom model or adapter description: Upload a custom model or adapter from Hugging Face or S3 x-codeSamples: - lang: Python label: Together AI SDK (v2) source: "# Docs for v1 can be found by changing the above selector ^\nfrom together import Together\nimport os\n\nclient = Together(\n api_key=os.environ.get(\"TOGETHER_API_KEY\"),\n)\n\nresponse = client.models.upload(\n model_name=\"My-Fine-Tuned-Model\",\n model_source=\"https://ml-models.s3.us-west-2.amazonaws.com/models/my-fine-tuned-model.tar.gz\",\n)\n\nprint(response.data.job_id)\n" - lang: Python label: Together AI SDK (v1) source: "from together import Together\nimport os\n\nclient = Together(\n api_key=os.environ.get(\"TOGETHER_API_KEY\"),\n)\n\nresponse = client.models.upload(\n \"My-Fine-Tuned-Model\",\n \"https://ml-models.s3.us-west-2.amazonaws.com/models/my-fine-tuned-model.tar.gz\",\n)\n\nprint(response.job_id)\n" - lang: TypeScript label: Together AI SDK (TypeScript) source: "import Together from \"together-ai\";\n\nconst client = new Together({\n apiKey: process.env.TOGETHER_API_KEY,\n});\n\nconst response = await client.models.upload({\n model_name: \"My-Fine-Tuned-Model\",\n model_source: \"https://ml-models.s3.us-west-2.amazonaws.com/models/my-fine-tuned-model.tar.gz\",\n})\n\nconsole.log(response);\n" - lang: JavaScript label: Together AI SDK (JavaScript) source: "import Together from \"together-ai\";\n\nconst client = new Together({\n apiKey: process.env.TOGETHER_API_KEY,\n});\n\nconst response = await client.models.upload({\n model_name: \"My-Fine-Tuned-Model\",\n model_source: \"https://ml-models.s3.us-west-2.amazonaws.com/models/my-fine-tuned-model.tar.gz\",\n})\n\nconsole.log(response);\n" - lang: Shell label: cURL source: "curl -X POST \"https://api.together.ai/v1/models\" \\\n -H \"Authorization: Bearer $TOGETHER_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"model_name\": \"My-Fine-Tuned-Model\",\n \"model_source\": \"https://ml-models.s3.us-west-2.amazonaws.com/models/my-fine-tuned-model.tar.gz\"\n }'\n" operationId: uploadModel requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ModelUploadRequest' responses: '200': description: Model / adapter upload job created successfully content: application/json: schema: $ref: '#/components/schemas/ModelUploadSuccessResponse' components: schemas: ModelInfo: type: object required: - id - object - created - type properties: id: type: string example: Austism/chronos-hermes-13b object: description: The object type, which is always `model`. const: model created: type: integer example: 1692896905 type: enum: - chat - language - code - image - embedding - moderation - rerank example: chat display_name: type: string example: Chronos Hermes (13B) organization: type: string example: Austism link: type: string license: type: string example: other context_length: type: integer example: 2048 pricing: $ref: '#/components/schemas/Pricing' ErrorData: type: object required: - error properties: error: type: object properties: message: type: string nullable: false type: type: string nullable: false param: type: string nullable: true default: null code: type: string nullable: true default: null required: - type - message ModelUploadRequest: type: object required: - model_name - model_source properties: model_name: type: string description: The name to give to your uploaded model example: Qwen2.5-72B-Instruct model_source: type: string description: The source location of the model (Hugging Face repo or S3 path) example: unsloth/Qwen2.5-72B-Instruct model_type: type: string description: Whether the model is a full model or an adapter default: model enum: - model - adapter example: model hf_token: type: string description: Hugging Face token (if uploading from Hugging Face) example: hf_examplehuggingfacetoken description: type: string description: A description of your model example: Finetuned Qwen2.5-72B-Instruct by Unsloth base_model: type: string description: The base model to use for an adapter if setting it to run against a serverless pool. Only used for model_type `adapter`. example: Qwen/Qwen2.5-72B-Instruct lora_model: type: string description: The lora pool to use for an adapter if setting it to run against, say, a dedicated pool. Only used for model_type `adapter`. example: my_username/Qwen2.5-72B-Instruct-lora ModelUploadSuccessResponse: type: object required: - data - message properties: data: type: object required: - job_id - model_name - model_id - model_source properties: job_id: type: string example: job-a15dad11-8d8e-4007-97c5-a211304de284 model_name: type: string example: necolinehubner/Qwen2.5-72B-Instruct model_id: type: string example: model-c0e32dfc-637e-47b2-bf4e-e9b2e58c9da7 model_source: type: string example: huggingface message: type: string example: Processing model weights. Job created. Pricing: type: object required: - hourly - input - output - base - finetune properties: base: type: number example: 0 finetune: type: number example: 0 hourly: type: number example: 0 input: type: number example: 0.3 output: type: number example: 0.3 cached_input: type: number example: 0.2 ModelInfoList: type: array items: $ref: '#/components/schemas/ModelInfo' securitySchemes: bearerAuth: type: http scheme: bearer x-bearer-format: bearer x-default: default