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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

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
Qwen-2.5-1B-RLCD / core
43.7 kB
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  • 1 contributor
History: 2 commits
harshatheg's picture
harshatheg
Add live ZeroGPU Space reference and dual MLX/PyTorch engine support
031d1a8 verified about 15 hours ago
  • __init__.py
    663 Bytes
    Upload folder using huggingface_hub about 19 hours ago
  • benchmark.py
    3.13 kB
    Upload folder using huggingface_hub about 19 hours ago
  • engine.py
    1.15 kB
    Add live ZeroGPU Space reference and dual MLX/PyTorch engine support about 15 hours ago
  • engine_mlx.py
    16.2 kB
    Add live ZeroGPU Space reference and dual MLX/PyTorch engine support about 15 hours ago
  • engine_torch.py
    11 kB
    Add live ZeroGPU Space reference and dual MLX/PyTorch engine support about 15 hours ago
  • prompt_builder.py
    2.38 kB
    Upload folder using huggingface_hub about 19 hours ago
  • schema.py
    9.11 kB
    Add live ZeroGPU Space reference and dual MLX/PyTorch engine support about 15 hours ago