LiquidAI/d1-omni-600M-GGUF开源了新模型

Liquid AI LiquidAI/d1-omni-600M-GGUF LiquidAI/d1-omni-600M-GGUF https://huggingface.co/LiquidAI/d1-omni-600M-GGUF

LiquidAI/d1-omni-600M-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/LiquidAI) LiquidAI (https://huggingface.co/LiquidAI) / d1-omni-600M-GGUF (https://huggingface.co/LiquidAI/d1-omni-600M-GGUF) Like 42 Follow Liquid AI 5.92k Image-Text-to-Text (https://huggingface.co/models?pipeline_tag=image-text-to-text) GGUF (https://huggingface.co/models?library=gguf) 15 languages liquid (https://huggingface.co/models?other=liquid) lfm2.5 (https://huggingface.co/models?other=lfm2.5) edge (https://huggingface.co/models?other=edge) decision (https://huggingface.co/models?other=decision) classification (https://huggingface.co/models?other=classification) calibration (https://huggingface.co/models?other=calibration) system-one (https://huggingface.co/models?other=system-one) multimodal (https://huggingface.co/models?other=multimodal) vision (https://huggingface.co/models?other=vision) audio (https://huggingface.co/models?other=audio) llama.cpp (https://huggingface.co/models?other=llama.cpp) decision-model (https://huggingface.co/models?other=decision-model) feature-extraction (https://huggingface.co/models?other=feature-extraction) License: lfm1.0 Model card (https://huggingface.co/LiquidAI/d1-omni-600M-GGUF) Files Files and versions xet (https://huggingface.co/LiquidAI/d1-omni-600M-GGUF/tree/main) Community 1 (https://huggingface.co/LiquidAI/d1-omni-600M-GGUF/discussions) Deploy Copy to bucket new Use this model Instructions to use LiquidAI/d1-omni-600M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Notebooks Google Colab (https://huggingface.co/LiquidAI/d1-omni-600M-GGUF/colab) Kaggle (https://huggingface.co/LiquidAI/d1-omni-600M-GGUF/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) llama.cpp (https://huggingface.co/LiquidAI/d1-omni-600M-GGUF?local-app=llama.cpp) How to use LiquidAI/d1-omni-600M-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 LiquidAI/d1-omni-600M-GGUF:BF16 # Run inference directly in the terminal: llama cli -hf LiquidAI/d1-omni-600M-GGUF:BF16Install from WinGet (Windows) winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf LiquidAI/d1-omni-600M-GGUF:BF16 # Run inference directly in the terminal: llama cli -hf LiquidAI/d1-omni-600M-GGUF:BF16Use 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 LiquidAI/d1-omni-600M-GGUF: