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rp440
/
Qwen3-8b-DSA-index

Text Generation
MLX
English
sparse-attention
qwen3
custom-code
indexer
experimental
prefill
efficiency
apple-silicon
Model card Files Files and versions
xet
Community

Instructions to use rp440/Qwen3-8b-DSA-index with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use rp440/Qwen3-8b-DSA-index 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("rp440/Qwen3-8b-DSA-index")
    
    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 rp440/Qwen3-8b-DSA-index with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Generate some text
    mlx_lm.generate --model "rp440/Qwen3-8b-DSA-index" --prompt "Once upon a time"
Qwen3-8b-DSA-index
289 MB
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  • 1 contributor
History: 4 commits
rp440's picture
rp440
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  • .gitattributes
    260 Bytes
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  • .gitignore
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  • LICENSE
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  • README.md
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  • demo.py
    6.67 kB
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  • eval_sparse_generate.py
    26.9 kB
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  • lightning_indexer_best_assembled.safetensors
    289 MB
    xet
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  • ppl_results_assembled.json
    452 Bytes
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  • requirements.txt
    71 Bytes
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  • run_config.json
    1.28 kB
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