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Yaa ngi leeral sa mébet. Novera mooy waajal jumtukaay yi, def liggéey bi ba noppi nas njariñ yi.
Jàppalekatu AI bu moom boppam bu TRON-ABS defar, daale ko ci ubbite bu njëkk bi ba ci njariñ yi: bind, nataal, music ak wideo ci benn waxtaan.
Amna ci Windows, Linux, macOS ak Android · 80 làkki interface · 42 Fournisseur cloud · 49 media preset · Apache 2.0
Otomatisation · Tablo · AI model yiy daw ci sa aparey · Hub ak model yu méngoo · Niir · Français · Jàppale
Jokkoo ofisel: contact.novera.tronabs@gmail.com
Profil sosio ofisel Novera: Facebook · Instagram · TikTok · YouTube · X · Bluesky
Séddoo leen seeni sos, seeni model, seeni jekkal, seeni laaj, seeni xalaat ak seeni xalaat.
> Tekki làkku README ci Àngle biñ jàppale ci 2026-11-03. Ba leegi ñu ngi soxla xoolaat làkk wiñ nàmp. Këyitu lëkkalekaay yi dañuy tëye seen làkk wiñ ko bindee.
---
## Disponibilite — 2026-11-03
**Novera 1.0.0 mingi jàppandi ngir Windows, Linux, macOS ak Android.** [Windows x64 / Linux x64](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0) · [Windows ARM64](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-windows-arm64). Kofre ordinatër yi, archive CLI yi, siife yi ak manifestu yeesal yi ñépp bokk nañu te dañu leen xool bu baax.
| Platform | Disponibilite |
| --- | --- |
| Windows x64 | Instalatëru NSIS bu ñépp bokk, yeesalkat buñ siñe; instalaasioŋ natiif ak wuutu xool nañu ko. |
| Linux x64 | AppImage bu ñépp bokk, yeesalkat buñ siñe; instalaasioŋ natiif ak wuutu xool nañu ko. |
| Windows x64 / Linux x64 CLI | [Novera CLI](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-cli-novera): `novera.exe` / `novera`, ak chaine de yeesal biñ siñe. |
| Windows ARM64 | [Instalatëru NSIS bu ñépp bokk](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-windows-arm64), motëru bind CPU; instalaasioŋ, wuutu ak saytu chaine publik xool nañu ko. |
| Android ARM64 | [APK 1.0.0 biñ siñe ñépp](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-android-1000012), Android 7+, 512. Kiy toppatoo dafay firndeel ni tabax 1000012 dafay dox ci seen telefon. Kofre bu sell te amul waxtaan, model wala caabi API bopp. [Firnde ak ay gàttal](docs/RELEASE_ANDROID_1.0.0.md). |
| macOS Intel / Apple Silicon | [1.0.0 DMG bu ofisel](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-macos), macOS 13+ Intel / 14+ Apple Silicon; Coppite yiñ siñe ci Novera. Du Apple buñu notarie; xëcc otomatik ñu ngi jaar ci architecture yépp, xëcc yi ñuy xool dañu leen yeexal. [Instalaasioŋ ak firnde](docs/RELEASE_MACOS_1.0.0.md). |
| iOS | Tabax simulatëru biir; Siñe/joxe Apple dafay laaj laata ngay samp iPhone. [Topp](docs/REPRISE_MACOS_IOS.md). |
| Windows x64 portable | [Archive ZIP buñ siñe](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-windows-portable); xibaar yi dañuy des ci Data; ñu seet ba xam ne wuutal Program bu am siñaatiir bi baax na. |
| Web, MSI, Debian | Kiliyaan Web biñ dalal ak yeneen formaa dañuy des ci biir; Situ fësal Pages jàppandi na. |
Ci Mac, ubbil DMG bi nga kopie Novera ci Aplikaasioŋ yi. Sudee dañu tëj ubbite bu njëkk bi, may Novera mu dugg **Jekkal sistem → Njaboot ak kaaraange → Ubbi numu mëna deme**. [Tegtal Apple](https://support.apple.com/guide/mac-help/mh40616/mac).
Siñaatiir yeesal yi duñu Windows Authenticode wala notarisasioŋ Apple. Saytu versioŋ yi fi nekk dañuy jaar ci chaine publik bi; jàll ci digganté ñaari version publik mingi des ci test bi ci topp. [Firnde ak ay gàttal](docs/LAUNCH_STATUS.md).
Ci Android, telefon bu bees bu am memory bu doy lañuy digal model yu dëkk bi; jëfandikoo ab fournisseur API ci aparey yu gëna néew doole. Ngir seetug web, muy lu mu néew **16K token (16,384)** mooy liñu lay digal, mu méngoo ci version yépp.
**Windows x64 portabal 1.0.0 mingi jàppandi.** Waxtaan yi, jekkal yi ak model yiñ yebbi dañuy des ci biir dosiye portabal bi ci suufu `Data`. Dindil archive bi yépp nga tàmbali `Novera.exe`. Tëjal Novera balaa ngay toxal dosiye bi wala nga dindi dencukaay USB bi. [Njàngale portatif ak ay gàttal](docs/WINDOWS_PORTABLE.md).
## Benn tablo ngir bépp sos
Novera dafay màgg ak yaw. Sa misaal ak say jekkal mën nañu jàppale yeneen jëfandikukat ñu am jekkal bu méngoo. Séddoo ay laaj, ay jafe-jafe ak ay xalaat ci sunu [Xëtu Facebook](https://www.facebook.com/profile.php?id=61596114515071) wala ci [bataaxal](mailto:contact.novera.tronabs@gmail.com). Soo ko mënee, boole ci sa xeetu Novera, sa aparey ak sa modelu lokal/API. Dindil say leerali bopp te bul musa séddoo caabi API wala baatu-jàll.
*Nataalu aplikaasioŋu Windows dëgg bi maintenant bi joxe ci 1 nowàmbar 2026, moo xamle ni aplikaasioŋ bi dafay dox bu baax. Dafay wane paysage buñ defar, ay seytu fichier yuñ denc ak tablo sos biñ boole; lii du maquette.*
Benn panel, juróomi anam: **Otomatik / Bind / Nataal / Woy / Wideo**. Kontrol yi dañu topp anam wiñ tànn: ratio bi, dayo bi, guddaay bi, kadans bi, kalite bi, jumtukaay bi, kàddu yi, jiwwu yi ak bariwaay bi. Yaatug paaneel bi ak butoŋu yi dañu méngoo ak palanteer bi ak etiket yiñ tekki.
- **1-10 xeeti jamono yu toppalante**, dafay nekk 1, ak limu moom boppam ngir nataal, music ak wideo. Stop dafay fomm liggéey bi am ak rang bi des.
- **Jiwwu yu bari, yu takku, +1 ak -1**, ratios yuñ tànn bu njëkk wala yuñ personaaliseer ak tànneef **Real-ESRGAN ×2/×4** yokkute ak dimension yu mujj yuñ wane.
- Modèle biñ tànn, mémoire automatique, attachement yi, tegtal yi, seetlu web bi ak jumtukaay yi dañuy des ci benn bar bi. Jumtukaay yi a ngi aju ci kàttanu model bi ak may ñu ci dugg.
## Liko dalee ci ubbite bu njëkk bi ba ci njariñ yi
**Sunu otomatisation dafay boole waajal ak def liggéey bi yépp.** Novera mooy jëfandikoo jéego teknik yi jàppandi ci tabb biñ tànn, boole ci tëye doxalal yu gëna xarañ yi.
| Jéego | Li Novera di liggéey |
| --- | --- |
| **1. Tàmbali** | Tannal làkku sistem biy jàppale ci ubbite bu njëkk bi ba noppi denc li nga taamu. Dafay wane xeetu ndoorte ak leeral ci hardware yu am njariñ. |
| **2. Waajal** | Instalaasioŋ buñ teg loxo dafay joxe mbind, dugal, nataal, music, wideo ak yokkute. Dafay xoolaat komponent yi, dayo yi ak bayaal bi laata ngay nangu, ba noppi topp yebbite yi ak yokkute, noppalu / dellu ak SHA-256 xool. |
| **3. Tabbal** | Dafay bind ay model ak seeni cër, defar ay profil yu jëm ci loolu ak rapoor ci dependency yiñ soxla. Embeddings yiy jël dañuy tàmbali ci CPU ak tànneef CPU/GPU buñ denc. Profil music yu bees yi dañuy nekk ci mode instrumental. |
| **4. Xam li ñuy laaj** | Yooni oto yi xàmmee nañu sàq yiñ def ci mbind, nataal, music wala wideo. Mën nga itam tànnee ci anam wu leer anam wi ñuy génne ak xeetu lokaal wala cloud. |
| **5. Def** | Memoire automatik dafay xaar liggéey bu am solo, génne model yuñ soxlawul ba noppi sarsewaat jumtukaay yiñ soxla. 1–10 liggéey dañuy dox ci yoon wi, ba noppi bàyyi jumtukaay yi laataa liggéey bi ci topp. Fournisseur cloud yi dañuy jëfandikoo kontu bi nga tànn ak tabb gi. |
| **6. Delloosi ko jëfandikoowaat** | Dafay denc media yi ci dosiye sistem Novera, wane njariñ yi ak waxtu yi jàppandi, ba noppi joxe ay variant, bibliotek bi, kopie, yóbbu wala séddoo sistem. Yonnee ci beneen aplikaasioŋ mooy sa jëf. |
Otomatisation dafay muur motëri liggéey yuñ boole; du tax model Hub bu nekk mën nañu ko jëfandikoo. Hardware bi, composant yiñ samp ak yelleefu ki leen jox ñooy wane li mëna dox. Dosie yi, coppite yi ci fichier yi ak ndigalu shell yi dañu topp sañ-sañu jëfandikoo waxtaan wi.
[Gitu jëfandikukat](docs/USER_GUIDE.md) · [Motëri ak gëmloo](docs/SUIVI_MOTEURS.md) · [Yokkateg](docs/DEVELOPMENT.md)
Ci balluwaay yiñ yeesal, **Tabluwaay yi dañuy méngale ay xalaatam ak jumtukaayi mobile ak yu tënk** LFM3-1.7B Q4, wala LFM3-Omni-2B Q4 ak projectër bi sudee liñu laaj ci memory bi ak ci motër bi matna. Generation local bi amul dañu ko nëbb wala ñu ko tëj; nataalu cloud biñ tabb, music ak wideo ñu ngi wéy di jàppandi. Njàngaley interface bi dafay jëfandikoowaat 80 katalog làkk yi. Xayma yooyu dañuy laaj ñu saytu aparey bi ba noppi tabaxaat ko ngir mëna yegg ci aplikaasioŋ yiñ samp.
## Mën-mën yi ci balluwaay bi
Diagnostic maintenance bu tànneef leegi dafay wuutale tabax ak jumtukaay yiñ jëfandikoo ak JavaScript exceptions, ak ndigalu wuute ak barabi xarala yuñ segg. Dañu tabb ab àrtu ci imeel waxtu wu nekk ngir kiy toppatoo bi. kàrtu source privé ak leeral yi ci topp [téere toppatoo bi](docs/MAINTENANCE.md); test email receipt firndeel nañu ko, ci noonu la màndarga gëmloo yebbi ak test ci binaire bi ci topp des xool génne.
| Barab | Man-man yi |
| --- | --- |
| **Xam mbind ak nataal** | Waxtaan, dokimaa yuñ tegaale, tontu yuñ joxe ci streaming ak xeetu lokaal wala cloud. Gis-gis mingi aju ci xeetu mbir mi; xam ak defar nataal ñaari mbir yu wuute lañu. |
| **Nataal** | Ci biir waxtaan, jiwwu, ratios, dayo, GGUF/Safetensors yi, dosiye diffusers yiñ tabb ak profil CUDA NVFP4 biñ jàppale. |
| **Woy** | Defar ci barab bi wala ci cloud, guddaay, kalite, jumtukaay wala kàddu yuñ jàppale, kàddu yuñ jagleel ak lecturer audio. Tànneefi joxekat yi wuute nañu. |
| **Wideo** | Defar ci barab bi wala ci niir yi, guddaay bi, limu kadre yi/cadence ngir profil yi ci barab bi, ratios yi, dayo bi ak lecteur wideo. |
| **Seetug ak jumtukaay** | Seetug web, seet dokimaa yu lalu ci samp, MCP, barabi liggéey ak jumtukaayi dëkk bi méngoo ak ndimbalu xeetu ndimmbal ak jëfandikoo giñ may. |
| **Resultaa yi ak séddoo** | Biblioteek media, anam yi, tontu/waxtaan export, këyit ak media original, imprime/PDF ak séddoo sistem bu aju ci platform. |
| **Doxal jumtukaay** | Memoire automatique bi dafay tàmbali, CPU/GPU jekkal ngir composant yi ñuy jàppale ak profile manuel sudee jumtukaay yi nangu nañu ko. |
## AI model yiy daw ci sa aparey
Modèle yooyu ñooy forme configuration guidée bi fi nekk. Mën nga indi yeneen model yu méngoo wala nga soppi profil yi.
| Rol | Modèle / komponent yiñ tabb |
| --- | --- |
| **Text — model bi njëkk** | **Nemotron-3.5-Bolt-E4B**, dosie `Nemotron-3.5-Bolt-E4B-Q4_K_M.gguf`. |
| **Seetlu këyit** | **Qwen3-Embedding-0.6B Q8_0**, **CPU biñu ko jagleel**, ak tànneef CPU/GPU buñ denc. |
| **Nataal** | **FLUX.2 Klein 4B Q4_K_M**, **Qwen3-4B Q4_K_M** enkodeur ak FLUX.2 VAE ofisel. |
| **Nataal — tànneef ci aparey** | **FLUX.2 Klein 4B NVFP4**, jaaraleko ci yoonu CUDA bi su GPU bi ak environmaa bi méngoo. |
| **Woy** | **ACE-Step 1.5 Turbo 2B Q4_K_M**, `acestep-5Hz-lm-1.7B-Q8_0.gguf` waajalkat, enkodeer misik Qwen ak VAE. |
| **Wideo** | **Wan2.1 T2V 1.3B Q4_K_M**, **UMT5-XXL Q4_K_M** encodeur ak Wan 2.1 VAE. |
| **Yokkatal** | Faamu **Real-ESRGAN ×2 ak ×4**, ak saytu dependence. |
Encodeur musical Qwen ak modelu recuperation Qwen ñooy **fichier yu wuute**, denc leen ñu wuute. Lisaas model yi dañuy des ci ñi leen siiwal.
[Manifestu bind](web-app/src/constants/text-manifest.json) · [Embeddings](web-app/src/constants/embedding-manifest.json) · [Woy](web-app/src/constants/music-manifest.json) · [Àndaaleb nataal/wideo](src-tauri/src/core/creation_bundle.rs)
## Fournisseur cloud
**42 profile** dañu boole. **ElevenLabs** Leegi mingi feeñ ci vitrine bi ci wetu yooni misik yu bawoo ci Stability AI, fal ak Replicate.
| | | |
| --- | --- | --- |
| 
[OpenAI](https://platform.openai.com/docs/models) | 
[Microsoft Azure](https://oai.azure.com/deployments) | 
[Anthropic](https://platform.claude.com/docs/en/models/overview) |
| 
[OpenRouter](https://openrouter.ai/models) | 
[Mistral](https://docs.mistral.ai/models) | 
[Groq](https://console.groq.com/docs/models) |
| 
[xAI](https://docs.x.ai/developers/models) | 
[Google Gemini](https://ai.google.dev/gemini-api/docs/models) | 
[MiniMax](https://platform.minimax.io/docs/api-reference/text-openai-api) |
| 
[Hugging Face](https://huggingface.co/models?pipeline_tag=text-generation&inference_provider=all) | 
[NVIDIA NIM](https://build.nvidia.com/models) | 
[DeepSeek](https://api-docs.deepseek.com/) |
| 
[Kimi · Moonshot AI](https://platform.kimi.ai/docs/models) | 
[Alibaba Cloud · Qwen](https://www.alibabacloud.com/help/en/model-studio/models) | 
[Cerebras](https://inference-docs.cerebras.ai/models/overview) |
| 
[Together AI](https://docs.together.ai/docs/serverless/models) | 
[Fireworks AI](https://docs.fireworks.ai/getting-started/models) | 
[Perplexity](https://docs.perplexity.ai/docs/agent-api/models) |
| 
[Meta AI](https://dev.meta.ai/docs/models) | 
[Cohere](https://docs.cohere.com/docs/models) | 
[Z.ai](https://docs.z.ai/guides/llm/glm-5.3) |
| 
[AI21 Labs](https://docs.ai21.com/docs/jamba-foundation-models) | 
[BytePlus · ByteDance](https://docs.byteplus.com/en/docs/modelark/model-parameter-support) | 
[Baidu Qianfan](https://cloud.baidu.com/doc/qianfan/s/rmh4stp0j) |
| 
[Tencent TokenHub](https://cloud.tencent.com/document/product/1823/130078) | 
[Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-chat-completions.html) | 
[IBM watsonx](https://www.ibm.com/docs/en/watsonx/saas?topic=preview-inferencing-gateway-models) |
| 
[ElevenLabs](https://elevenlabs.io/docs/api-reference/music/compose) | 
[Black Forest Labs](https://docs.bfl.ai/quick_start/generating_images) | 
[Stability AI](https://docs.stability.ai/api-reference) |
| 
[Recraft](https://www.recraft.ai/docs/api-reference/agents.md) | 
[Ideogram](https://developer.ideogram.ai/ideogram-api/api-overview) | 
[Adobe Firefly](https://developer.adobe.com/firefly-services/docs/firefly-api/) |
| 
[Runway](https://docs.dev.runwayml.com/api/) | 
[Luma](https://docs.agents.lumalabs.ai/guides/model/) | 
[LTX (Lightricks)](https://docs.ltx.io/models) |
| 
[fal](https://fal.ai/docs/documentation/model-apis/inference/queue) | 
[Replicate](https://replicate.com/docs/reference/http) | 
[Leonardo.Ai](https://docs.leonardo.ai/reference/creategeneration) |
| 
[Krea](https://www.krea.ai/docs/developers/krea-3/overview) | 
[Vidu](https://platform.vidu.com/docs/model-map) | 
[PixVerse](https://docs.platform.pixverse.ai/changelog-2394996m0) |
### Nataal, music ak wideo
**20 furnisër dañu wane yooni defar**, ak **49 tànneef: 25 nataal, 20 wideo ak 4 music**. Yooni music ñooy **ElevenMusic v2.5**, **Stable Audio 3**, **ACE-Step ci fal** ak **Stable Audio 2.5 jaare ko ci Replicate**.
| Fournisseur | Novera | Modèlu katalog |
| --- | --- | --- |
| [ElevenLabs](https://elevenlabs.io/docs/api-reference/music/compose) | Woy | `ElevenMusic v2.5` |
| [Stability AI](https://docs.stability.ai/api-reference/stable-audio/text-to-audio) | Nataal / Musik | `Stable Audio 3` · `Stable Image Ultra` · `Stable Image Core` |
| [fal](https://fal.ai/models/fal-ai/ace-step/api) | Nataal / Music / Wideo | `ACE-Step · cloud` · `Pika 2.2 · fal` · `Qwen Image 2512 · fal` · `FLUX.2 Max · fal` · `Kling 3 Pro · fal` · `Kling 3 Standard · fal` |
| [Replicate](https://replicate.com/stability-ai/stable-audio-2.5/api/schema) | Nataal / Musik | `Stable Audio 2.5 · Replicate` · `FLUX.2 Max · Replicate` |
| [BytePlus · ByteDance](https://docs.byteplus.com/en/docs/ModelArk/image-generation-api) | Nataal / Wideo | `Dola Seedream 5 Pro` · `Dreamina Seedance 2.5` |
| [Adobe Firefly](https://developer.adobe.com/firefly-services/docs/firefly-api/api/) | Nataal / Wideo | `Adobe Firefly Image 5` · `Adobe Firefly Video` |
| [Google Gemini](https://ai.google.dev/gemini-api/docs/omni) | Nataal / Wideo | `Gemini Omni 1.1 Flash` · `Gemini Nano Banana 2.1` |
| [Krea](https://www.krea.ai/docs/developers/krea-3/overview.md) | Nataal | `Krea 3` |
| [Leonardo.Ai](https://docs.leonardo.ai/docs/lucid-origin) | Nataal | `Lucid Origin` · `Krea 2 Turbo · Leonardo` · `Ideogram 3 · Leonardo` |
| [Vidu](https://platform.vidu.com/docs/api-reference/video-models/vidu-q4-preview/image-to-video) | Wideo | `Vidu Q4 Preview` · `Vidu Q3 Pro` · `Vidu Q3 Turbo` |
| [OpenAI](https://developers.openai.com/api/docs/guides/image-generation) | Nataal | `GPT Image 2.5 Sunburst` · `GPT Image 2.5 Flare` |
| [xAI](https://docs.x.ai/developers/model-capabilities/imagine) | Nataal / Wideo | `Grok Imagine Image 2.0` · `Grok Imagine Video 1.5` · `Grok Imagine Video 1.5 Lite` |
| [Black Forest Labs](https://docs.bfl.ai/quick_start/generating_images) | Nataal | `FLUX.2 [max]` · `FLUX.2 [pro]` · `FLUX.2 [klein] 9B` |
| [Recraft](https://www.recraft.ai/docs/api-reference/agents.md) | Nataal | `Recraft V4.1` · `Recraft V4.1 Flash` · `Recraft V4.1 Pro` |
| [Ideogram](https://developer.ideogram.ai/ideogram-api/api-overview) | Nataal | `Ideogram 4.5` |
| [Runway](https://docs.dev.runwayml.com/api/) | Wideo | `Runway Gen-4.5` |
| [Luma](https://docs.agents.lumalabs.ai/guides/model/) | Nataal / Wideo | `Luma Uni-1 Max` · `Luma Uni-1` · `Luma Ray 3.2` |
| [LTX (Lightricks)](https://docs.ltx.io/models) | Wideo | `LTX-2.5 Pro` · `LTX-2.5 Fast` |
| [MiniMax](https://platform.minimax.io/docs/api-reference/video-generation-v2-create) | Nataal / Wideo | `MiniMax H3 Max` · `MiniMax H3` · `MiniMax H3 Highspeed` · `MiniMax Image-01` |
| [PixVerse](https://docs.platform.pixverse.ai/changelog-2394996m0) | Wideo | `PixVerse V6 Max` · `PixVerse V6` |
Waneel mbind ak limu xeetu gis-gis bu gàtt ci joxekat bi
| Fournisseur | ID model yiñ joxe ci balluwaay bi |
| --- | --- |
| [OpenAI](https://platform.openai.com/docs/models) | `gpt-6.1-sol` · `gpt-6-astra` · `gpt-6-luna` · `gpt-6-sol` |
| [Microsoft Azure](https://oai.azure.com/deployments) | Dugalug kontu wala buntu |
| [Anthropic](https://platform.claude.com/docs/en/models/overview) | `claude-sonnet-5-5` · `claude-opus-5-5` · `claude-fable-5-1` · `claude-haiku-5-5` |
| [OpenRouter](https://openrouter.ai/models) | `moonshotai/kimi-k3.1-pro` · `minimax/minimax-m3.1-flash` · `deepseek/deepseek-v4.1-flash-1017` · `nvidia/nemotron-3.5-super-vl:free` |
| [Mistral](https://docs.mistral.ai/models) | `mistral-large-4` · `mistral-medium-3-5` · `mistral-small-2603` · `ministral-3b-2512` |
| [Groq](https://console.groq.com/docs/models) | `openai/gpt-oss-120b` · `openai/gpt-oss-20b` · `llama-3.3-70b-versatile` · `llama-3.1-8b-instant` |
| [xAI](https://docs.x.ai/developers/models) | `grok-4.7` |
| [Google Gemini](https://ai.google.dev/gemini-api/docs/models) | `gemini-4-argon` · `gemini-3.8-flash` · `gemini-3.6-flash` · `gemini-3.5-flash-lite` |
| [MiniMax](https://platform.minimax.io/docs/api-reference/text-openai-api) | `MiniMax-M3.1-Flash` · `MiniMax-M3` |
| [Hugging Face](https://huggingface.co/models?pipeline_tag=text-generation&inference_provider=all) | `deepseek-ai/DeepSeek-V4.1-Flash-1017` · `Qwen/Qwen3.8-27B` · `moonshotai/Kimi-K3` · `zai-org/GLM-5.3` |
| [NVIDIA NIM](https://build.nvidia.com/models) | `minimaxai/minimax-m3.1-flash` · `deepseek-ai/deepseek-v4.1-flash` · `nvidia/nemotron-3.5-super-vl-120b-a12b` · `nvidia/nemotron-3.5-lightning-30b-a3b` · `z-ai/glm-5.3` |
| [DeepSeek](https://api-docs.deepseek.com/) | `deepseek-flash` · `deepseek-v4-pro` |
| [Kimi · Moonshot AI](https://platform.kimi.ai/docs/models) | `kimi-k3.1-pro` · `kimi-k3.1-pro-highspeed` · `kimi-k3` |
| [Alibaba Cloud · Qwen](https://www.alibabacloud.com/help/en/model-studio/models) | `qwen3.8-max` · `qwen3.7-plus` · `qwen3.8-flash` |
| [Cerebras](https://inference-docs.cerebras.ai/models/overview) | `qwen-3.8-27b` · `gpt-oss-120b` |
| [Together AI](https://docs.together.ai/docs/serverless/models) | `deepseek-ai/DeepSeek-V4.1-Flash-1017` · `moonshotai/Kimi-K3` · `Qwen/Qwen3.8-Flash` · `Qwen/Qwen3.8-2.4T-A95B` |
| [Fireworks AI](https://docs.fireworks.ai/getting-started/models) | `accounts/fireworks/models/deepseek-v4p1-flash-1017` · `accounts/fireworks/models/kimi-k3` · `accounts/fireworks/models/minimax-m3` |
| [Perplexity](https://docs.perplexity.ai/docs/agent-api/models) | `perplexity/sonar` · `openai/gpt-6.1-sol` · `google/gemini-4-argon` · `perplexity/kimi-k3` |
| [Meta AI](https://dev.meta.ai/docs/models) | `muse-wonder-1.0` · `muse-spark-1.3` |
| [Cohere](https://docs.cohere.com/docs/models) | `command-a-plus-05-2026` |
| [Z.ai](https://docs.z.ai/guides/llm/glm-5.3) | `glm-5.3` · `glm-5.3-flash` · `glm-5.3-flashx` |
| [AI21 Labs](https://docs.ai21.com/docs/jamba-foundation-models) | `jamba-large` · `jamba-mini-2` |
| [BytePlus · ByteDance](https://docs.byteplus.com/en/docs/modelark/model-parameter-support) | `dola-seed-2-1-turbo-260628` |
| [Baidu Qianfan](https://cloud.baidu.com/doc/qianfan/s/rmh4stp0j) | `ernie-5.1` |
| [Tencent TokenHub](https://cloud.tencent.com/document/product/1823/130078) | `hy4-preview` |
| [Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-chat-completions.html) | `openai.gpt-6.1-sol` |
| [IBM watsonx](https://www.ibm.com/docs/en/watsonx/saas?topic=preview-inferencing-gateway-models) | Dugalug kontu wala buntu |
Inventaire biñ xool ci source bi ci **29 oktoobar 2026**. Tur yii dañuy fësal presets Novera, du garanti jëfandikoo ci kontu bu nekk. Catalog yu sori yi, gox yi, lisence yi, quota yi ak faktiir yi dañuy des ci furnisër bi kese. Profil yiy méngoo mën nañu yeesal seen katalog; Azure ak yenn buntu yi dañuy jëfandikoo jëfandikoo kontu. Kontra cloud yi dañu am ay test yuñ simulee; amul benn generation buñ fay ngir yeesali vitrine bii.
[Katalog media](web-app/src/constants/mediaProviders.ts) · [Royuwaayi bind/gis-gis](web-app/src/constants/cloudModels.ts) · [Tabb niir](docs/USER_GUIDE.md#cloud) · [Ikon bi cosaanoo](docs/DEVELOPMENT.md#logos)
## Hub ak model yu méngoo
**GGUF, Safetensors standard ak Safetensors yi ñu quantifier, ONNX ak MLX**: xool model yi ci liggéey bi nga tànnee variant yi méngoo ak motër bi ak sa aparey.
| Famille | Jàppale ci balluwaay bi | Liñu lay laaj |
| --- | --- | --- |
| **GGUF** | Defar mbind ci llama.cpp; nataal ak wideo ngir profil yiñ jàppale. | Architecture buñu xàmmee ci motër biñ boole. |
| **Xaaj GGUF** | Benn variant ci série bu mat, dayo buñ boole, yebbi bépp-shard ak dayo / SHA-256 / saytu boppu. | Tur fichier yu am nimero buñ miin; Yebbi 500 GB tekkiwul ni model bi méngoo na ak PC bii. |
| **Safetensors standard** | Dossier yu matt yi jaaraleko ci Transformers, bind sabab yi ci CPU wala NVIDIA CUDA. | Tabluwaay, tokeniseer ak bépp shard buñ soxla. |
| **ONNX Runtime** | Yobbu ci dëkk bi ay graf numérique/bool ak génne mbind GenAI yuñ waajal. | Dossier bu mat te baax; liggéey-jëfandikoo/jëfandikoo giñ soxla; [tabb ak àpp](onnx-server/README.md). |
| **Adaptatëru LoRA/PEFT** | Dugalal benn base bu mat ak adaptëram bu nekk ci Safetensors biy joxe. | Base Transformers buñu xaymawul, dàntite bu méngoo, saytu tensor ak xayma mémoire cumulatif; [tabb ak àpp](transformers-server/README.md#local-lora--peft-adapters). |
| **FP8 LLM / ModelOpt** | Liggéeyukaay CUDA ngir génne Llama/Qwen2/Qwen3 bu dëgër tensor FP8. | Saytu arsitektir/tensor ak sond kernel dëgg; [tabb ak àpp](transformers-server/README.md#modelopt-fp8-and-nvfp4-llms). |
| **NVFP4 LLM / ModelOpt** | Projeksioŋ FP4 yuñ defaree blok-16 jaaraleko ci GEMM yu CUDA; tàqaloo ak nataal NVFP4. | GPU Blackwell bu méngoo, di jàppale dimension/export ak sonde kernel bi; jumtukaay yuñ tàggatul ñu natt leen ci RTX 5070. |
| **AWQ** | 4-bit GEMM xeetu barabu saytu bu amul fusion liggéey. | NVIDIA CUDA ak GPTQModel/Transformers yuñ mëna tànn. |
| **GPTQ** | Tabbu 2/3/4/8 bit, jëmmal gptq/gptq_v2. | NVIDIA CUDA, GPTQModel ak Optimum; jëfandikoo dëgg lañu natt ci 4 bits. |
| **bitsandbytes** | NF4/FP4 wala INT8 8 bit. | NVIDIA CUDA ak ay lëkkaloo yuñ mëna tànn; test NF4 ak INT8 dëgg. |
| **EXL3** | Dossier modelu Safetensors yiñ sarse jaaraleko ci ExLlamaV3; jamono ju dëggu ak CUDA lañu natt. | GPU NVIDIA, environmaa Python 3.12 bu wuute ak tabax bu méngoo; amul CPU buy dellu ginaaw. |
| **EXL2** | ExLlamaV2 chargeur buñ jagleel; di dawal, fomm ak desarge natt ci GPU. | CUDA dañu wara tànn bu baax ngir stack losisel biñ natt; ab model bu matt ak VRAM lañu soxla. |
| **MLX** | Modèle yu méngoo ci Apple Silicon. | Motër MLX ak platform buñ jàppale. |
Hub bi leegi dafay pin **LFM3-1.7B** ni ko LiquidAI digle ngir tabb yi méngoo, ak Q4_K_M, Q6_K ak Q8_0. Modèle biñ njëkka def mooy model biñ lim ci configuration biñ teg ci kaw.
Seggal yebbi poid yi ci **ci suufu 1 GB ba 500 GB ak ci kaw**, ba noppi nga tànnal ko ci jumtukaay bi, dayo bi, bees bi wala yebbite yi. Resultaa yi dañuy yokk ndànk-ndànk; filtre yi dañuy jëfandikoo ci model yiñ jëlee ak seeni variant yiñ jagleel. Xelal ci mémoire dafay jëfandikoo RAM/VRAM bi jàppandi, contexte ak composant àndandoo, te duñu lim ñaari yoon mémoire GPU biñ bokk.
AWQ 4-bit, GPTQ 4-bit, NF4 ak INT8 ku nekk ci ñoom defar na mbind ci RTX 5070 Laptop di jëfandikoo ay model yu ndaw yuñ tàggatul yuñ defar ci offline. Loolu dafay saytu loading ak exécution, du kalite wala performance model bu nekk. **Yokk yooyu ñu ngi ci source bi: tabaxaat ak dependency yu méngoo lañu soxla; yeesal bii README yeesalul ab binar buñ samp.**
**Natt ci RTX 5070 Laptop:** Qwen2.5-0.5B-Instruct, context 2,048, laaj 272 jeton, 128 jeton yuñ defar, juróomi daw yu tàng: dekode median **GGUF Q4_K_M 402.7 tokens/s · EXL3 4 bpw 312.5 · EXL2 4 bpw 146.9**. Amul benn njariñu gaawaay ci kaw GGUF buñu wane fii. Kantite/kalibraasioŋ wuute na, te EXL3 daa lajj ci benn saxaaru arithmetik; Resultaa yi bokku ñu ci rang gaawaay wala kalite. [Natt yu mat sëkk ak àpp](deliverables/exllama-2026-10-30/validation.md).
**TabbyAPI** lëkkalekaay serwër bu méngoo ak OpenAI, buñ mëna tànn, buñ tànn diko yor, te dafa dellu ginaaw. Gis-gis model EXL3 biñ gëm ak streaming lañu natt. Yoonu ExLlama biñ yor ci dëkk bi mingi wéy di wuute. [Tabb ExLlama ak lëkkaloo TabbyAPI](transformers-server/README.md#exl3-first-exl2-second--nvidia-execution).
Xeetu tànneef biñ jagleel hardware bi mooy gëna bëgg génne yu bees yi ci biir benn dëppoo ak mémoire disponible. Modèle yiñ samp duñu leen wecci ci saasi.
[Tabb Safetensors yi ñu quantifier](transformers-server/README.md#quantized-safetensors--source-integration-29-october-2026) · [Format yi, njëkkante yi ak gëmloo](docs/SUIVI_MOTEURS.md)
Sources yu bees yi yokk **komponent yiñ yor ci tànneef yi ngir Windows x64**: environmaa yi Python privé, profil CPU/CUDA yuñ tënk, xayma ak firnde laataa ñuy yebbi, xool, defar ak dindi. Yooni tekkikatu làkk yiñ personaalise dañuy des ci tànneef yu xóot yi. Motëri GGUF yi dañuy tëye seen cër yi fi nekk; mobile ak cloud duñu yebbi Python/PyTorch. Ñatti profil CPU/export yuñ jëfandikoo ak jumtukaayi synthetik dëgg; Toppatookat bi dafa wax ni jëfandikoo na bu baax ordinatër bi ci 1 nowàmbar 2026; Profil GPU ak instalaasioŋ bu sell-PC ba leegi dañu soxla tàqaloo, gëna leer. [Profil yi ak àppu test yi](docs/REPRISE_COMPOSANTS_GERES_80_LANGUES.md). dugal stack bi ci EXE defa yeex.
## 80 làkki interface ak seeni variant
**80 katalog yi dañuy tënk 2,429 caabi angale yi fi nekk** ci barabi tur 15, boole ci mënu yi, tabb yi, jekkal yi, ndimbal yi ak seytu media yi. Formu plural yi ak yoon wi interface bi di jaar dañu topp làkk wiñ tànn. Tontu ak làkku baat a ngi aju ci model bi.
Bii coverage technique seedewul kalite linguistic: **xoolaat ci dëkk bi ak méngale ci diwaan yi dañuy wéy di am njariñ**. Xoolal etiketu cosaan ak àpp yiñ xam ci [tegtal làkk](docs/LANGUAGES.md) ak [rapooru audit](deliverables/interface-audit-2026-10-29/RAPPORT.md).
## Dimbali nit ñi, ci wàll wu nekk
Ginaaw daara yi ak njàng mi, sunu mébet mooy jàppale nit ñi ñu jàng, saafara jafe-jafe, defar ay projet yu am njariñ ci àdduna bi yépp. Novera mingi bëgga yombal xam-xam ak jëfandikoo jéego yu AI yi, ci làkk yu bari, ci wàllu jaar-jaar ak ci aparey yi jàppandi.
| Secteur yi nu bëgga jàppale ñu yokk | misaali xéewal yu am njariñ |
| --- | --- |
| Daara yi, njàng ak jàngat buy yàgg | Leeralal konsept yi, méngale jumtukaayi jàngat yi ak jàppale jàngalekat yi, ndongo yi ak njaboot yi. |
| Gëstu, science ak jawwu ji | Xoolaatal téere yi, leeral pexe yi, jàngat ay done, séddoo xam-xam. |
| Wérgi-yaram, toppato ak jàppale askan wi | Yombal xam-xam ci leeral yi ak jàppale gëstu ak liggéey bu xarañ. |
| Mbay mi, lekk ak askanu àll bi | Séddoo xam-xam bu am njariñ, jàppale ci waajal ak defar jumtukaayi am njariñ ci dëkk bi. |
| Environmaa bi, klimaa bi, ndox mi ak biodiversite bi | Leeralal firnde yi, jàppale seetlu yi ak jàppale askan wi ci waajal ay projet. |
| Energy, liggéey, tabax ak art | Jàppale këyitu liggéey, jëmmal, toppatoo bi, jàng xarala yi ak gëna suqali liggéey bi. |
| Liggéeyukaay, njaay, xaalis ak liggéey | Dimbali leen ci waajal liggéey, xam xibaar, defar ay projet ak jàng xam-xam liggéey. |
| Serwiisu publik, yoon ak bokk ci askan wi | Defal dokimaa yi ak doxalin yi ñu gëna yomba xam, ba noppi ñu gëna yomba am xibaar. |
| Informatik, kaaraange siber, robotik ak jokkoo ci tele | Dimbali leen ci defar ay losisel, xam sistem yi ak defar jumtukaay yu am njariñ. |
| Art, cosaan ak aada, mejaa yi, làkk yi ak ndono | Jàppale bind, tekki làkk, nataal, wideo, projet yu bees ak séddoo aada. |
| Transport, logistik, turism, tàggat yaram ak dundu askan | Jàppale ci waajal, jokkoo, jàng ak tàmbali yi ci dëkk bi. |
| Yomb jëfandikoo, liggéey doomi aadama yi ak dundu bis bu nekk | Wàññil jafe-jafe yi ci wàllu làkk ak xam-xam, jàppale nit ñi ci anam wu mën jëfandikoo. |
Lii ay tegtal lañu ngir jàppale ak yokkute, du wax ni bépp aplikaasioŋ buñ jagleel sectëri bi joxe nañu ko wala ñu baaxal ko. Danu bëgga tegtal yu yomb ngir jëfandikoo bis bu nekk, tànneef yu leer yu xarañ su ko soxlaa, hardware bu leer ak niir yi ñuy laaj, ak liggéeyandoo ak nit ñi xam barab bu nekk ak jamonoy dëkk bi.
## Tolluwaayu projet bi
**Novera 1.0.0 mingi jàppandi ngir Windows, Linux, macOS ak Android.** Nataalu ekraŋ bi dafay wane ab aplikaasioŋ Windows bu maintenant bi defar ci gox bi. Coppite yi am ci balluwaay bi, test yiñ tëral ak validasioŋ hardware bi dañu leen di tàqale; lii du baax ci bépp model, platform wala kontu cloud.
Tabax GitHub Actions ak loxo mën nañu ko def ci fukk ak benn xeeti séddale yépp. Toppal [defar ay resultaa ak yebbi kàndidaa yuñ xool](docs/CI_DISTRIBUTIONS.md); disponibilite bi ñu ngi koy bind ci platform bu nekk. Kandidaa yi wuute nañu ak génne yiñ siñe. Li ñuy laaj ci séddale leeral nañu ko ci [politiku génne ofisel](OFFICIAL_RELEASES.md) ak [génne xët](https://github.com/TRON-ABS/Novera/releases). Kandidaa yi fi nekk te yeesal nañu leen ñu des ci biir. Li ñuy génne ci mbooloo mi dafay laaj jumtukaayu yeesal buñ konfiguree ba noppi xool bu baax; [xool anamu siife ordinatër bi ak dessitu mbir yiñ laaj ngir génne, dañu leen bind](docs/LAUNCH_STATUS.md).
## Këyitu liggéey ak ndimbal
- [Gitu jëfandikukat bu leer](docs/USER_GUIDE.md), [sàrti wurus yi ci wàllu produit ak jëfandikukat (Français)](docs/REGLES_D_OR.md), [model ak motëri](docs/SUIVI_MOTEURS.md).
- [Yokkateg](docs/DEVELOPMENT.md), [tabax ak génne tegtal](docs/BUILD_AND_RELEASE.md), [xeetu ëlëg ak waajal yeesal](docs/FUTURES_VERSIONS.md).
- [Tablo projet](TABLEAU_DE_BORD_NOVERA.md), [kàrtu yoon](ROADMAP.md), [coppite](docs/CHANGELOG.md).
- [Di jàppale](CONTRIBUTING.md): kode, test, jàngat ci làkki 80 ak feedback ci liggéey bi dëgg.
## Ndaxte ak lisence
Novera ñu ngi koy toppatoo **TRON-ABS** ci [dencukaay bii](https://github.com/TRON-ABS/Novera). xoolal [politiku dàntite](BRANDING.md) ak [politiku génne ofisel](OFFICIAL_RELEASES.md).
Novera tabax ci kaw [Jan](https://github.com/janhq/jan), ki ko defar mooy Menlo Research ak ñi ci jàppale. Attribution yu njëkk yi ak yu ñeneen ñi ak [Lisaas bu Apache 2.0](LICENSE) ñu ngi leen tëye. Jan téléchargement bokkul ak Novera génne.
## Jàppaleen Novera
Man gëstukat bu moom boppam laa, xamnaa ni ñàkkum xaalis mën na jafeel topp gëstu.
Soo bëggee bokk ci aventure Novera, mën nga jàppale sama gëstu ak yokkuteg projet bi ak ndimbalu bitcoin ci sa bopp.
Noo ngi sant ñépp ci seen ndimbal, seen jàppale, seen xalaat ak seen ñaaxtu. Bépp jëf amna solo ci aventure bii!
**Bitcoin (BTC) — resoo Bitcoin**
Adres bi ngay joxe: `17TXpB1aBj5DxjwEfM3K44zyqhixRzY78i`
Soo bëggee jàppale, scanner kodu QR bii ak sa kalpe wala nga kopie adres bi ci kaw. Tannal **Bitcoin (BTC), ci resoo Bitcoin**, nga tànn li nga bëgg.
---
Ci képp ku tàmbali sa tukki ak Novera: Yalna sa bëgg-bëgg ubbi buntu yu bees, sa xalaat dundu, te bépp mbindéef yóbbu la gëna sori.
TRON-ABS
Sachet Jean-Marc - Gëstukat bu moom boppam - France
Art bu nit ak AI
Maa ngi sant ñépp ñiy jàppale àdduna bi mu gëna baax. Ci seen gis-gis, seen liggéey, seen jàppante ak seen xam-xam bi ñuy joxe, jàppale nañu nu nu yegg fi nu nekk tay.
Nu ngi leen di sant ci seen ëlëg, ñoom ak képp ku yor ngëm boobu di séddoo ak jàppale ñeneen ñi ñu jëm ca kanam.
Jumtukaayu yokkute: 🧠 Codex — GPT-6.1 Sol