FermionResearch/Phonon-1开源了新模型
根据官方来源,FermionResearch/Phonon-1开源了新模型。详细信息请以原始来源为准。
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Fermion Research FermionResearch/Phonon-1 FermionResearch/Phonon-1 https://huggingface.co/FermionResearch/Phonon-1
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FermionResearch/Phonon-1 · 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/FermionResearch) FermionResearch (https://huggingface.co/FermionResearch) / Phonon-1 (https://huggingface.co/FermionResearch/Phonon-1) like 7 Automatic Speech Recognition (https://huggingface.co/models?pipeline_tag=automatic-speech-recognition) MLX (https://huggingface.co/models?library=mlx) English (https://huggingface.co/models?language=en) apple-silicon (https://huggingface.co/models?other=apple-silicon) speech-to-text (https://huggingface.co/models?other=speech-to-text) asr (https://huggingface.co/models?other=asr) stt (https://huggingface.co/models?other=stt) low-bit (https://huggingface.co/models?other=low-bit) ternary (https://huggingface.co/models?other=ternary) quantization-aware-training (https://huggingface.co/models?other=quantization-aware-training) on-device (https://huggingface.co/models?other=on-device) streaming (https://huggingface.co/models?other=streaming) License: apache-2.0 Model card (https://huggingface.co/FermionResearch/Phonon-1) Files Files and versions xet (https://huggingface.co/FermionResearch/Phonon-1/tree/main) Community (https://huggingface.co/FermionResearch/Phonon-1/discussions) Deploy Copy to bucket new Use this model Instructions to use FermionResearch/Phonon-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries MLX (https://huggingface.co/FermionResearch/Phonon-1?library=mlx) How to use FermionResearch/Phonon-1 with MLX: # Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Phonon-1 FermionResearch/Phonon-1 Notebooks Google Colab (https://huggingface.co/FermionResearch/Phonon-1/colab) Kaggle (https://huggingface.co/FermionResearch/Phonon-1/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) LM Studio (lmstudio://open_from_hf?model=FermionResearch/Phonon-1) Atomic Chat (atomic-chat://models/huggingface/FermionResearch/Phonon-1) Phonon-1 (https://huggingface.co/FermionResearch/Phonon-1#phonon-1) Benchmarks (https://huggingface.co/FermionResearch/Phonon-1#benchmarks) Run it (https://huggingface.co/FermionResearch/Phonon-1#run-it) License (https://huggingface.co/FermionResearch/Phonon-1#license) (https://huggingface.co/FermionResearch/Phonon-1#phonon-1) Phonon-1 Phonon-1 is an open speech recognition model for English. It downloads in 415 MB, runs on a laptop or a datacenter GPU, and transcribes an hour of audio in about two and a half minutes. It was trained at 2.4 bits per weight from the start, and it is the second model in the lab's low-bit lane af
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