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JayNagose
/
LLaMa-3.2-tax-basic

Text Generation
PEFT
Safetensors
English
lora
qlora
sft
legal-ai
tax-law
indian-tax
retrieval-augmented-generation
citation-verification
conversational
Model card Files Files and versions
xet
Community

Instructions to use JayNagose/LLaMa-3.2-tax-basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use JayNagose/LLaMa-3.2-tax-basic with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "JayNagose/LLaMa-3.2-tax-basic")
  • Notebooks
  • Google Colab
  • Kaggle
LLaMa-3.2-tax-basic
71.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
JayNagose's picture
JayNagose
Update README.md
efcbf85 verified 5 months ago
  • .gitattributes
    1.57 kB
    my first finetuned model for Tax-logic 5 months ago
  • README.md
    9.21 kB
    Update README.md 5 months ago
  • adapter_config.json
    1.02 kB
    my first finetuned model for Tax-logic 5 months ago
  • adapter_model.safetensors
    54.6 MB
    xet
    my first finetuned model for Tax-logic 5 months ago
  • chat_template.jinja
    389 Bytes
    my first finetuned model for Tax-logic 5 months ago
  • special_tokens_map.json
    325 Bytes
    my first finetuned model for Tax-logic 5 months ago
  • tokenizer.json
    17.2 MB
    xet
    my first finetuned model for Tax-logic 5 months ago
  • tokenizer_config.json
    50.6 kB
    my first finetuned model for Tax-logic 5 months ago