tencent/Hy-Memory-30B-A3B-GGUF开源了新模型
根据官方来源,tencent/Hy-Memory-30B-A3B-GGUF开源了新模型。详细信息请以原始来源为准。
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Tencent tencent/Hy-Memory-30B-A3B-GGUF tencent/Hy-Memory-30B-A3B-GGUF https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF
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tencent/Hy-Memory-30B-A3B-GGUF · 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) / Hy-Memory-30B-A3B-GGUF (https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF) Like 13 Follow Tencent 12.6k Text Generation (https://huggingface.co/models?pipeline_tag=text-generation) Transformers (https://huggingface.co/models?library=transformers) GGUF (https://huggingface.co/models?library=gguf) English (https://huggingface.co/models?language=en) Chinese (https://huggingface.co/models?language=zh) llama.cpp (https://huggingface.co/models?other=llama.cpp) conversational (https://huggingface.co/models?other=conversational) arxiv: 2610.22196 License: apache-2.0 Model card (https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF) Files Files and versions xet (https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF/tree/main) Community (https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF/discussions) Deploy Copy to bucket new Use this model Instructions to use tencent/Hy-Memory-30B-A3B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers (https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF?library=transformers) How to use tencent/Hy-Memory-30B-A3B-GGUF with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="tencent/Hy-Memory-30B-A3B-GGUF") # pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tencent/Hy-Memory-30B-A3B-GGUF", device_map="auto") Notebooks Google Colab (https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF/colab) Kaggle (https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) llama.cpp (https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF?local-app=llama.cpp) How to use tencent/Hy-Memory-30B-A3B-GGUF 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 tencent/Hy-Memory-30B-A3B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf tencent/Hy-Memory-30B-A3B-GGUF:Q4_K_MInstall from WinGet (Windows) winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tencent/Hy-Memory-30B-A3B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf tencent/Hy-Memory-30B-A3B-GGUF:Q4_K_MUse pre-built binary # Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a loca
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