deepseek-ai/DeepSeek-V4.1-Flash-1017开源了新模型

DeepSeek deepseek-ai/DeepSeek-V4.1-Flash-1017 deepseek-ai/DeepSeek-V4.1-Flash-1017 https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017

deepseek-ai/DeepSeek-V4.1-Flash-1017 · 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/deepseek-ai) deepseek-ai (https://huggingface.co/deepseek-ai) / DeepSeek-V4.1-Flash-1017 (https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017) Like 921 Follow DeepSeek 150k Image-Text-to-Text (https://huggingface.co/models?pipeline_tag=image-text-to-text) Transformers (https://huggingface.co/models?library=transformers) Safetensors (https://huggingface.co/models?library=safetensors) deepseek_v41 (https://huggingface.co/models?other=deepseek_v41) text-generation (https://huggingface.co/models?other=text-generation) 8-bit precision (https://huggingface.co/models?other=8-bit) fp8 (https://huggingface.co/models?other=fp8) License: mit Model card (https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017) Files Files and versions xet (https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/tree/main) Community 13 (https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/discussions) Deploy Copy to bucket new Use this model Instructions to use deepseek-ai/DeepSeek-V4.1-Flash-1017 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers (https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017?library=transformers) How to use deepseek-ai/DeepSeek-V4.1-Flash-1017 with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="deepseek-ai/DeepSeek-V4.1-Flash-1017") # pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-V4.1-Flash-1017", device_map="auto") Notebooks Google Colab (https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/colab) Kaggle (https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) vLLM (https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017?local-app=vllm) How to use deepseek-ai/DeepSeek-V4.1-Flash-1017 with vLLM: Install from pip and serve model # Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "deepseek-ai/DeepSeek-V4.1-Flash-1017" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "deepseek-ai/DeepSeek-V4.1-Flash-1017", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker docker model run hf.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 SGLang (https://huggingfac