amd/gemma-4-e4b-npu-eager开源了新模型

AMD amd/gemma-4-e4b-npu-eager amd/gemma-4-e4b-npu-eager https://huggingface.co/amd/gemma-4-e4b-npu-eager

amd/gemma-4-e4b-npu-eager · 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) / gemma-4-e4b-npu-eager (https://huggingface.co/amd/gemma-4-e4b-npu-eager) like 0 Follow AMD 3.15k Any-to-Any (https://huggingface.co/models?pipeline_tag=any-to-any) ONNX (https://huggingface.co/models?library=onnx) Model card (https://huggingface.co/amd/gemma-4-e4b-npu-eager) Files Files and versions xet (https://huggingface.co/amd/gemma-4-e4b-npu-eager/tree/main) Community (https://huggingface.co/amd/gemma-4-e4b-npu-eager/discussions) Copy to bucket new Gemma-4-E4B-IT ONNX export (https://huggingface.co/amd/gemma-4-e4b-npu-eager#gemma-4-e4b-it-onnx-export) Required Packages (https://huggingface.co/amd/gemma-4-e4b-npu-eager#required-packages) Quantization (https://huggingface.co/amd/gemma-4-e4b-npu-eager#quantization) (https://huggingface.co/amd/gemma-4-e4b-npu-eager#gemma-4-e4b-it-onnx-export) Gemma-4-E4B-IT ONNX export (https://huggingface.co/amd/gemma-4-e4b-npu-eager#required-packages) Required Packages Mobius (main) - Install from source using pip install -e . Olive (main) - Install from source using pip install -e . Olive-recipe (main) - Run the recipe: https://github.com/microsoft/olive-recipes/tree/main/google-gemma-4-E2B-it (https://github.com/microsoft/olive-recipes/tree/main/google-gemma-4-E2B-it) Change the input model name to gemma-4-E2B-it (https://huggingface.co/amd/gemma-4-e4b-npu-eager#quantization) Quantization K-quant Group size 32 Downloads last month - Downloads are not tracked for this model. How to track (https://huggingface.co/docs/hub/models-download-stats) Inference Providers NEW (https://huggingface.co/docs/inference-providers) Any-to-Any (https://huggingface.co/tasks/any-to-any) This model isn't deployed by any Inference Provider. 🙋 Ask for provider support (https://huggingface.co/spaces/huggingface/InferenceSupport/discussions/new?title=amd/gemma-4-e4b-npu-eager&description=React%20to%20this%20comment%20with%20an%20emoji%20to%20vote%20for%20%5Bamd%2Fgemma-4-e4b-npu-eager%5D(%2Famd%2Fgemma-4-e4b-npu-eager)%20to%20be%20supported%20by%20Inference%20Providers.%0A%0A(optional)%20Which%20providers%20are%20you%20interested%20in%3F%20(Novita%2C%20Hyperbolic%2C%20Together%E2%80%A6)%0A) Model tree for amd/gemma-4-e4b-npu-eager (https://huggingface.co/docs/hub/model-cards#specifying-a-base-model) Base model google/gemma-4-E4B (https://huggingface.co/google/gemma-4-E4B) Finetuned google/gemma-4-E4B-it (https://huggingface.co/google/gemma-4-E4B-it) Quantized ( 328 (https://huggingface.co/models?other=base_model:quantized:google/gemma-4-E4B-it) ) this model Sys