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Thump604
/
DeepSeek-V4-Flash-MLX-Q3-mixed-gs128-affine

Text Generation
MLX
Safetensors
English
deepseek_v4
deepseek-v4
quantized
4-bit precision
Model card Files Files and versions
xet
Community
1

Instructions to use Thump604/DeepSeek-V4-Flash-MLX-Q3-mixed-gs128-affine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use Thump604/DeepSeek-V4-Flash-MLX-Q3-mixed-gs128-affine with MLX:

    # Make sure mlx-lm is installed
    # pip install --upgrade mlx-lm
    # if on a CUDA device, also pip install mlx[cuda]
    
    # Generate text with mlx-lm
    from mlx_lm import load, generate
    
    model, tokenizer = load("Thump604/DeepSeek-V4-Flash-MLX-Q3-mixed-gs128-affine")
    
    prompt = "Once upon a time in"
    text = generate(model, tokenizer, prompt=prompt, verbose=True)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
  • MLX LM

    How to use Thump604/DeepSeek-V4-Flash-MLX-Q3-mixed-gs128-affine with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Generate some text
    mlx_lm.generate --model "Thump604/DeepSeek-V4-Flash-MLX-Q3-mixed-gs128-affine" --prompt "Once upon a time"
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Thank for providing the worlds' first MLX version deepseekv4

#1 opened 19 days ago by
SharpAI
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