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Datangtang
/
lora_lab2_model_1B

Safetensors
llama
unsloth
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use Datangtang/lora_lab2_model_1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Local Apps Settings
  • Unsloth Studio

    How to use Datangtang/lora_lab2_model_1B 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 Datangtang/lora_lab2_model_1B 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 Datangtang/lora_lab2_model_1B to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Datangtang/lora_lab2_model_1B to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="Datangtang/lora_lab2_model_1B",
        max_seq_length=2048,
    )

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  • .gitattributes
    1.57 kB
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  • README.md
    49 Bytes
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  • chat_template.jinja
    4.57 kB
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  • config.json
    1.3 kB
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  • generation_config.json
    234 Bytes
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  • model.safetensors
    1.1 GB
    xet
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  • special_tokens_map.json
    454 Bytes
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  • tokenizer.json
    17.2 MB
    xet
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  • tokenizer_config.json
    50.6 kB
    Upload model trained with Unsloth 7 months ago