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buildrestart
/
Gitallama

Text Generation
PEFT
Safetensors
English
llama-3.1
lora
qlora
unsloth
bhagavad-gita
hinduism
philosophy
spiritual
fine-tuned
conversational
Model card Files Files and versions
xet
Community

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

  • Libraries
  • PEFT

    How to use buildrestart/Gitallama 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, "buildrestart/Gitallama")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
Gitallama
353 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
buildrestart's picture
buildrestart
Update model card
0dee4f9 verified 6 months ago
  • .gitattributes
    1.57 kB
    Add QLoRA adapter (Bhagavad Gita fine-tune) 6 months ago
  • README.md
    4.57 kB
    Update model card 6 months ago
  • adapter_config.json
    1.21 kB
    Add QLoRA adapter (Bhagavad Gita fine-tune) 6 months ago
  • adapter_model.safetensors
    336 MB
    xet
    Add QLoRA adapter (Bhagavad Gita fine-tune) 6 months ago
  • chat_template.jinja
    4.61 kB
    Add QLoRA adapter (Bhagavad Gita fine-tune) 6 months ago
  • special_tokens_map.json
    454 Bytes
    Add QLoRA adapter (Bhagavad Gita fine-tune) 6 months ago
  • tokenizer.json
    17.2 MB
    xet
    Add QLoRA adapter (Bhagavad Gita fine-tune) 6 months ago
  • tokenizer_config.json
    50.6 kB
    Add QLoRA adapter (Bhagavad Gita fine-tune) 6 months ago
  • training_config.json
    596 Bytes
    Add QLoRA adapter (Bhagavad Gita fine-tune) 6 months ago