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chan4lk
/
okr-micro-asms

Text Generation
MLX
Safetensors
English
tool-use
okr
agent
asms
micro-model
apple-silicon
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use chan4lk/okr-micro-asms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use chan4lk/okr-micro-asms 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("chan4lk/okr-micro-asms")
    
    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 chan4lk/okr-micro-asms with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Generate some text
    mlx_lm.generate --model "chan4lk/okr-micro-asms" --prompt "Once upon a time"
okr-micro-asms
64.3 MB
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  • 1 contributor
History: 2 commits
chan4lk's picture
chan4lk
Upload folder using huggingface_hub
89920f0 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    5.34 kB
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  • architecture.py
    10.5 kB
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  • config.json
    181 Bytes
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  • config_q4.json
    242 Bytes
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  • model.safetensors
    53.8 MB
    xet
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  • model_q4.safetensors
    10.1 MB
    xet
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  • okr_tokenizer.model
    333 kB
    xet
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