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x0root
/
Llama-3.1-8B-Orca-Structured-LoRA

Text Generation
PEFT
Safetensors
English
text-generation-inference
unsloth
llama-3.1
math
reasoning
orca
structured-output
lora
conversational
Model card Files Files and versions
xet
Community

Instructions to use x0root/Llama-3.1-8B-Orca-Structured-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use x0root/Llama-3.1-8B-Orca-Structured-LoRA with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "x0root/Llama-3.1-8B-Orca-Structured-LoRA")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
Llama-3.1-8B-Orca-Structured-LoRA
185 MB
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  • 2 contributors
History: 9 commits
x0root's picture
x0root
Update README.md
6df2cc1 verified 5 months ago
  • .gitattributes
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  • README.md
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  • adapter_config.json
    1.21 kB
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  • adapter_model.safetensors
    168 MB
    xet
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  • chat_template.jinja
    4.57 kB
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  • tokenizer.json
    17.2 MB
    xet
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  • tokenizer_config.json
    427 Bytes
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