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TheStrongestOfTomorrow
/
nano-coder-1.5b-agentic

Safetensors
English
code
code-generation
agentic
qwen
nano-coder
4-bit precision
unsloth
Model card Files Files and versions
xet
Community

Instructions to use TheStrongestOfTomorrow/nano-coder-1.5b-agentic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Local Apps Settings
  • Unsloth Studio

    How to use TheStrongestOfTomorrow/nano-coder-1.5b-agentic with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for TheStrongestOfTomorrow/nano-coder-1.5b-agentic to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for TheStrongestOfTomorrow/nano-coder-1.5b-agentic to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for TheStrongestOfTomorrow/nano-coder-1.5b-agentic to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="TheStrongestOfTomorrow/nano-coder-1.5b-agentic",
        max_seq_length=2048,
    )
nano-coder-1.5b-agentic
85.3 MB
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  • 1 contributor
History: 8 commits
TheStrongestOfTomorrow's picture
TheStrongestOfTomorrow
Upload model trained with Unsloth
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  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
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    Final Bulletproof Persona Purge & Refusal Alignment (Trained with Unsloth) 21 days ago
  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    4.62 kB
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