nvidia/Nemotron-3-Labs-Ultra-Math-SFT开源了新模型

NVIDIA nvidia/Nemotron-3-Labs-Ultra-Math-SFT nvidia/Nemotron-3-Labs-Ultra-Math-SFT https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-SFT

nvidia/Nemotron-3-Labs-Ultra-Math-SFT · Hugging Face Hugging Face (https://huggingface.co/) Models (https://huggingface.co/models) Datasets (https://huggingface.co/datasets) Spaces (https://huggingface.co/spaces) Buckets new (https://huggingface.co/storage) Docs (https://huggingface.co/docs) Enterprise (https://huggingface.co/enterprise) Pricing (https://huggingface.co/pricing) Website Tasks (https://huggingface.co/tasks) HuggingChat (https://huggingface.co/chat) Collections (https://huggingface.co/collections) Languages (https://huggingface.co/languages) Organizations (https://huggingface.co/organizations) Community Blog (https://huggingface.co/blog) Posts (https://huggingface.co/posts) Daily Papers (https://huggingface.co/papers) Hardware (https://huggingface.co/hardware) Learn (https://huggingface.co/learn) Discord (https://huggingface.co/join/discord) Forum (https://discuss.huggingface.co/) GitHub (https://github.com/huggingface) Solutions Team & Enterprise (https://huggingface.co/enterprise) Hugging Face PRO (https://huggingface.co/pro) Enterprise Support (https://huggingface.co/support) Inference Providers (https://huggingface.co/inference/models) Inference Endpoints (https://huggingface.co/inference-endpoints) Storage Buckets (https://huggingface.co/storage) Log In (https://huggingface.co/login) Sign Up (https://huggingface.co/join) (https://huggingface.co/nvidia) nvidia (https://huggingface.co/nvidia) / Nemotron-3-Labs-Ultra-Math-SFT (https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-SFT) like 0 Follow NVIDIA 67.8k Text Generation (https://huggingface.co/models?pipeline_tag=text-generation) Transformers (https://huggingface.co/models?library=transformers) Safetensors (https://huggingface.co/models?library=safetensors) PyTorch (https://huggingface.co/models?library=pytorch) nvidia/Nemotron-Math-Proofs-v3-SFT English (https://huggingface.co/models?language=en) nvidia (https://huggingface.co/models?other=nvidia) nemotron-3 (https://huggingface.co/models?other=nemotron-3) latent-moe (https://huggingface.co/models?other=latent-moe) mtp (https://huggingface.co/models?other=mtp) conversational (https://huggingface.co/models?other=conversational) arxiv: 2511.22570 License: openmdw-1.1 Model card (https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-SFT) Files Files and versions xet (https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-SFT/tree/main) Community (https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-SFT/discussions) Deploy Copy to bucket new Use this model Instructions to use nvidia/Nemotron-3-Labs-Ultra-Math-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers (https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-SFT?library=transformers) How to use nvidia/Nemotron-3-Labs-Ultra-Math-SFT with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="nvidia/Nemotron-3-Labs-Ultra-Math-SFT") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages) # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/Nemotron-3-Labs-Ultra-Math-SFT", device_map="auto") Notebooks Google Colab (https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-SFT/colab) Kaggle (https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-SFT/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) vLLM (https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-SFT?local-app=vllm) How to use nvidia/Nemotron-3-Labs-Ultra-Math-SFT with vLLM: Install from pip and serve model # Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nvidia/Nemotron-3-Labs-Ultra-Math-SFT" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --da