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sazak
/
OmniSQL-7B-4bit-mlx

Text Generation
MLX
Safetensors
English
Text-to-SQL
SQL
NL2SQL
Text2SQL
Model card Files Files and versions
xet
Community

Instructions to use sazak/OmniSQL-7B-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use sazak/OmniSQL-7B-4bit-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("sazak/OmniSQL-7B-4bit-mlx")
    
    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 sazak/OmniSQL-7B-4bit-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 "sazak/OmniSQL-7B-4bit-mlx" --prompt "Once upon a time"
OmniSQL-7B-4bit-mlx
4.3 GB
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  • 1 contributor
History: 2 commits
sazak's picture
sazak
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4398649 verified 10 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    882 Bytes
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  • added_tokens.json
    605 Bytes
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  • chat_template.jinja
    2.51 kB
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  • config.json
    891 Bytes
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  • generation_config.json
    242 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    4.28 GB
    xet
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  • model.safetensors.index.json
    51.8 kB
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    4.69 kB
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  • vocab.json
    2.78 MB
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