tencent/Hy4-preview-FP8开源了新模型

Tencent tencent/Hy4-preview-FP8 tencent/Hy4-preview-FP8 https://huggingface.co/tencent/Hy4-preview-FP8

tencent/Hy4-preview-FP8 · 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/tencent) tencent (https://huggingface.co/tencent) / Hy4-preview-FP8 (https://huggingface.co/tencent/Hy4-preview-FP8) like 19 Follow Tencent 12k Text Generation (https://huggingface.co/models?pipeline_tag=text-generation) Transformers (https://huggingface.co/models?library=transformers) Safetensors (https://huggingface.co/models?library=safetensors) hy_v4 (https://huggingface.co/models?other=hy_v4) hunyuan (https://huggingface.co/models?other=hunyuan) hy4 (https://huggingface.co/models?other=hy4) Mixture of Experts (https://huggingface.co/models?other=moe) fp8 (https://huggingface.co/models?other=fp8) quantized (https://huggingface.co/models?other=quantized) conversational (https://huggingface.co/models?other=conversational) modelopt (https://huggingface.co/models?other=modelopt) arxiv: 2512.02556 arxiv: 2603.12201 License: apache-2.0 Model card (https://huggingface.co/tencent/Hy4-preview-FP8) Files Files and versions xet (https://huggingface.co/tencent/Hy4-preview-FP8/tree/main) Community 2 (https://huggingface.co/tencent/Hy4-preview-FP8/discussions) Deploy Copy to bucket new Use this model Instructions to use tencent/Hy4-preview-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers (https://huggingface.co/tencent/Hy4-preview-FP8?library=transformers) How to use tencent/Hy4-preview-FP8 with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="tencent/Hy4-preview-FP8") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages) # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("tencent/Hy4-preview-FP8", device_map="auto") Notebooks Google Colab (https://huggingface.co/tencent/Hy4-preview-FP8/colab) Kaggle (https://huggingface.co/tencent/Hy4-preview-FP8/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) vLLM (https://huggingface.co/tencent/Hy4-preview-FP8?local-app=vllm) How to use tencent/Hy4-preview-FP8 with vLLM: Install from pip and serve model # Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "tencent/Hy4-preview-FP8" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tencent/Hy4-preview-FP8", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker docker model run hf.co/tencen