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benahi
/
hidegpv4

PEFT
Safetensors
llama
Model card Files Files and versions
xet
Community

Instructions to use benahi/hidegpv4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use benahi/hidegpv4 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Meta-Llama-3.1-8B-Instruct-Reference__TOG__FT")
    model = PeftModel.from_pretrained(base_model, "benahi/hidegpv4")
  • Notebooks
  • Google Colab
  • Kaggle
hidegpv4
101 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
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benahi
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  • .gitattributes
    1.57 kB
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  • README.md
    5.14 kB
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  • adapter_config.json
    891 Bytes
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  • adapter_model.safetensors
    83.9 MB
    xet
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  • chat_template.jinja
    4.61 kB
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  • config.json
    890 Bytes
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  • special_tokens_map.json
    325 Bytes
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  • tokenizer.json
    17.2 MB
    xet
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  • tokenizer_config.json
    50.6 kB
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  • trainer_state.json
    4.54 kB
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