Income Tax Llama - Fine-tuned Model
This model is a fine-tuned version of Llama-2-7b-hf specialized for Indian income tax questions and explanations.
Model Details
- Base Model: meta-llama/Llama-2-7b-hf
- Fine-tuning Method: LoRA (Low-Rank Adaptation)
- Domain: Indian Income Tax
- Language: English
Usage
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
import torch
model = AutoPeftModelForCausalLM.from_pretrained(
"path/to/model",
torch_dtype=torch.bfloat16,
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b-hf")
prompt = "What is Section 80C in income tax?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
Training Data
The model was fine-tuned on income tax related questions and answers.
Limitations
- Specialized for Indian income tax domain
- May not perform well on general queries
- Tax laws change frequently - verify information independently
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Model tree for Nareshedagotti/income-tax-llama-lora
Base model
meta-llama/Llama-2-7b-hf