LiquidAI/LFM2.5-VL-3B-MLX-bf16开源了新模型

Liquid AI LiquidAI/LFM2.5-VL-3B-MLX-bf16 LiquidAI/LFM2.5-VL-3B-MLX-bf16 https://huggingface.co/LiquidAI/LFM2.5-VL-3B-MLX-bf16

LiquidAI/LFM2.5-VL-3B-MLX-bf16 · 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) / LFM2.5-VL-3B-MLX-bf16 (https://huggingface.co/LiquidAI/LFM2.5-VL-3B-MLX-bf16) like 15 Follow Liquid AI 5.02k Image-Text-to-Text (https://huggingface.co/models?pipeline_tag=image-text-to-text) MLX (https://huggingface.co/models?library=mlx) Safetensors (https://huggingface.co/models?library=safetensors) 16 languages lfm2_vl (https://huggingface.co/models?other=lfm2_vl) liquid (https://huggingface.co/models?other=liquid) lfm2 (https://huggingface.co/models?other=lfm2) lfm2-vl (https://huggingface.co/models?other=lfm2-vl) edge (https://huggingface.co/models?other=edge) lfm2.5 (https://huggingface.co/models?other=lfm2.5) lfm2.5-vl (https://huggingface.co/models?other=lfm2.5-vl) mlx_vlm (https://huggingface.co/models?other=mlx_vlm) conversational (https://huggingface.co/models?other=conversational) custom_code (https://huggingface.co/models?other=custom_code) License: lfm1.0 Model card (https://huggingface.co/LiquidAI/LFM2.5-VL-3B-MLX-bf16) Files Files and versions xet (https://huggingface.co/LiquidAI/LFM2.5-VL-3B-MLX-bf16/tree/main) Community (https://huggingface.co/LiquidAI/LFM2.5-VL-3B-MLX-bf16/discussions) Deploy Copy to bucket new Use this model Instructions to use LiquidAI/LFM2.5-VL-3B-MLX-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries MLX (https://huggingface.co/LiquidAI/LFM2.5-VL-3B-MLX-bf16?library=mlx) How to use LiquidAI/LFM2.5-VL-3B-MLX-bf16 with MLX: # Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("LiquidAI/LFM2.5-VL-3B-MLX-bf16") config = load_config("LiquidAI/LFM2.5-VL-3B-MLX-bf16") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) Notebooks Google Colab (https://huggingface.co/LiquidAI/LFM2.5-VL-3B-MLX-bf16/colab) Kaggle (https://huggingface.co/LiquidAI/LFM2.5-VL-3B-MLX-bf16/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) LM Studio (lmstudio://open_from_hf?model=LiquidAI/LFM2.5-VL-3B-MLX-bf16) Pi (https://huggingface.co/LiquidAI/LFM2.5-VL-3B-MLX-bf16?local-app=pi) How to use LiquidAI/LFM2.5-VL-3B-MLX-bf16 with Pi