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ArithaAI
/
aritha-ai-mini

MLX
Safetensors
gemma4
4-bit precision
quantized
apple-silicon
multimodal
vision
reasoning
chain-of-thought
opus
claude-code
sft
fused
turboquant
kv-cache-compression
long-context
tool-calling
ArithaAI
enterprise-private
Model card Files Files and versions
xet

Instructions to use ArithaAI/aritha-ai-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use ArithaAI/aritha-ai-mini with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir aritha-ai-mini ArithaAI/aritha-ai-mini
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio

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  • .gitattributes
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  • README.md
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  • chat_template.jinja
    11.9 kB
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  • config.json
    6.36 kB
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  • generation_config.json
    251 Bytes
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  • model-00001-of-00003.safetensors
    5.35 GB
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  • model-00002-of-00003.safetensors
    5.36 GB
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  • model-00003-of-00003.safetensors
    257 MB
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  • processor_config.json
    670 Bytes
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  • tokenizer.json
    32.2 MB
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  • tokenizer.json.bak
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  • tokenizer_config.json
    2.73 kB
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