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mlx-community
/
DeepSeek-R1-Distill-Qwen-32B-MLX

Text Generation
MLX
Safetensors
English
chat
conversations
Model card Files Files and versions
xet
Community
25

Instructions to use mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX 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("mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX")
    
    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 mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Generate some text
    mlx_lm.generate --model "mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX" --prompt "Once upon a time"
DeepSeek-R1-Distill-Qwen-32B-MLX
308 GB
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  • 1 contributor
History: 28 commits
sealad886's picture
sealad886
Multiple quants for MLX framework (#25)
c016b4e verified about 1 year ago
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