📖 Documentation • 🔥 Ready-to-Use Recipes • 💡 Examples • Model Coverage • Performance • 🤝 Contributing
google/gemma-4-12B model. Check out our recipe.inclusionAI/Ling-mini-2.0, inclusionAI/Ling-flash-2.0, and inclusionAI/Ling-1T), thanks to @Hayden727. Check out our recipes.baidu/ERNIE-4.5-0.3B-PT, baidu/ERNIE-4.5-21B-A3B-PT, and XiaomiMiMo/MiMo-V2-Flash. Check out our ERNIE dense recipe, ERNIE MoE recipe, and MiMo recipe.nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16, NVIDIA's 30B-A3B omnimodal MoE (text · image · audio) with NemotronH hybrid Mamba+Attention backbone. Check out our SFT recipe, LoRA recipe, and guide.tencent/Hy3-preview, thanks to @Khazic. Check out our recipe.deepseek-ai/DeepSeek-V4-Flash, thanks to @Khazic. Check out our recipe and guide.Qwen/Qwen3.6-27B. Check out our recipe.Qwen/Qwen-Image, thanks to @harshareddy832. Check out our recipe.Qwen/Qwen3.6-35B-A3B. Check out our recipe.lmms-lab/LLaVA-OneVision-1.5-4B-Instruct, thanks to @vgauraha62. Check out our recipe.MiniMaxAI/MiniMax-M2.7. Check out our recipe.zai-org/GLM-5.1. GLM-5.1 is Zhipu AI's latest open-source MoE model featuring MLA + DeepSeek Sparse Attention. Check out our recipe and discussion.nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16. Check out our recipe.zai-org/GLM-5. Check out our recipe.Qwen/Qwen3.5-397B-A17B (recipe) and Qwen/Qwen3.5-35B-A3B (recipe)Previous News
MiniMaxAI/MiniMax-M2.5. Checkout our recipeMiniMaxAI/MiniMax-M2. Checkout our recipeQwen/Qwen3-VL-235B-A22B-Instruct. Checkout our recipemoonshotai/Kimi-VL-A3B-Instruct. Check out our recipe.nvidia/Nemotron-Flash-1B. Check out our recipe.nvidia/NVIDIA-Nemotron-Parse-v1.1 (recipe, tutorial and try on Brev).mistralai/Devstral-Small-2-24B-Instruct-2512. Check out our recipe.$ claude mcp add Automodel \
-- python -m otcore.mcp_server <graph>