Text Generation
PEFT
Safetensors
English
lora
qlora
sft
legal-ai
tax-law
indian-tax
retrieval-augmented-generation
citation-verification
conversational
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
- Xet hash:
- ffe86e56f1c57feb7ef44e46ed37e0ca725b1bbb857e137470f8c73dc1111a50
- Size of remote file:
- 54.6 MB
- SHA256:
- 3ab01548410840c2e229b5069b7f40ec6fdc804c595bcc19b5fd97c1abb59ac2
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