Image-Text-to-Text
MLX
Safetensors
deepseek_v41
gbx-lm
apple-silicon
mixture-of-experts
4-bit precision
expert-paging
fp8
Instructions to use GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged 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("GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged") config = load_config("GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged") # 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
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download engram_token_map.json from GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged: direct link, hf CLI and curl.
- Browser
- Download file 875 kB
-
https://huggingface.co/GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged/resolve/main/engram_token_map.json
- Command line
-
hf download hf://GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged/engram_token_map.json
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curl -L -o engram_token_map.json https://huggingface.co/GreenBitAI/DeepSeek-V4.1-Flash-4bit-paged/resolve/main/engram_token_map.json
875 kB
File too large to display, you can check the raw version instead.