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harshatheg
/
Qwen-2.5-1B-RLCD

Text Generation
MLX
English
structured-generation
parallel-decoding
constrained-decoding
apple-silicon
classification
json
Model card Files Files and versions
xet
Community
2

Instructions to use harshatheg/Qwen-2.5-1B-RLCD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use harshatheg/Qwen-2.5-1B-RLCD 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("harshatheg/Qwen-2.5-1B-RLCD")
    
    prompt = "Once upon a time in"
    text = generate(model, tokenizer, prompt=prompt, verbose=True)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • MLX LM

    How to use harshatheg/Qwen-2.5-1B-RLCD with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Generate some text
    mlx_lm.generate --model "harshatheg/Qwen-2.5-1B-RLCD" --prompt "Once upon a time"
  • Atomic Chat
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Independent 4-way benchmark incl. this engine (751 identical states)

#2 opened 3 days ago by
saidutta69

good job

#1 opened 6 days ago by
chrisqianz
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