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mx003
/
viper-llama-3_2-1B

PEFT
Safetensors
llama
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use mx003/viper-llama-3_2-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use mx003/viper-llama-3_2-1B with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-1B-Instruct")
    model = PeftModel.from_pretrained(base_model, "mx003/viper-llama-3_2-1B")
  • Notebooks
  • Google Colab
  • Kaggle
viper-llama-3_2-1B
3.75 GB
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  • 1 contributor
History: 2 commits
mx003's picture
mx003
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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
    90.2 MB
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  • chat_template.jinja
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  • config.json
    890 Bytes
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  • special_tokens_map.json
    444 Bytes
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  • tokenizer.json
    17.2 MB
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  • tokenizer_config.json
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