amd/Qwen3.8-Flash-Next-EXTENSOR开源了新模型
根据官方来源,amd/Qwen3.8-Flash-Next-EXTENSOR开源了新模型。详细信息请以原始来源为准。
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AMD amd/Qwen3.8-Flash-Next-EXTENSOR amd/Qwen3.8-Flash-Next-EXTENSOR https://huggingface.co/amd/Qwen3.8-Flash-Next-EXTENSOR
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amd/Qwen3.8-Flash-Next-EXTENSOR · 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/amd) amd (https://huggingface.co/amd) / Qwen3.8-Flash-Next-EXTENSOR (https://huggingface.co/amd/Qwen3.8-Flash-Next-EXTENSOR) Like 0 Follow AMD 3.33k Text Generation (https://huggingface.co/models?pipeline_tag=text-generation) GGUF (https://huggingface.co/models?library=gguf) extensor (https://huggingface.co/models?other=extensor) mixture-of-experts (https://huggingface.co/models?other=mixture-of-experts) quantized (https://huggingface.co/models?other=quantized) qwen (https://huggingface.co/models?other=qwen) rocm (https://huggingface.co/models?other=rocm) rocmfp4 (https://huggingface.co/models?other=rocmfp4) conversational (https://huggingface.co/models?other=conversational) License: qwen-community-1.0 Model card (https://huggingface.co/amd/Qwen3.8-Flash-Next-EXTENSOR) Files Files and versions xet (https://huggingface.co/amd/Qwen3.8-Flash-Next-EXTENSOR/tree/main) Community (https://huggingface.co/amd/Qwen3.8-Flash-Next-EXTENSOR/discussions) Deploy Copy to bucket new Use this model Instructions to use amd/Qwen3.8-Flash-Next-EXTENSOR with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Notebooks Google Colab (https://huggingface.co/amd/Qwen3.8-Flash-Next-EXTENSOR/colab) Kaggle (https://huggingface.co/amd/Qwen3.8-Flash-Next-EXTENSOR/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) llama.cpp (https://huggingface.co/amd/Qwen3.8-Flash-Next-EXTENSOR?local-app=llama.cpp) How to use amd/Qwen3.8-Flash-Next-EXTENSOR with llama.cpp: Install (macOS, Linux) curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf amd/Qwen3.8-Flash-Next-EXTENSOR # Run inference directly in the terminal: llama cli -hf amd/Qwen3.8-Flash-Next-EXTENSORInstall from WinGet (Windows) winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf amd/Qwen3.8-Flash-Next-EXTENSOR # Run inference directly in the terminal: llama cli -hf amd/Qwen3.8-Flash-Next-EXTENSORUse pre-built binary # Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf amd/Qwen3.8-Flash-Next-EXTENSOR # Run inference directly in the terminal: ./llama-cli -hf amd/Qwen3.8-Flash-Next-EXTENSORBuild from source code git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server
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