Model Details
- Model type: LoRA adapter for Llama-3.2-1B-Instruct
- Languages: English, Hindi
- Intended use: Instruction following and conversational tasks, with improved capability on Indic (especially Hindi) data.
Training Data
Fine-tuned on a subset of:
Mainly using the anudesh and oasst1 configs (English + Hindi splits).
How to Use
Load with Unsloth (Recommended)
from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(
model_name = "Utkarsh736/llama_lora_indic_instruct",
max_seq_length = 2048,
dtype = None,
load_in_4bit = True,
)
FastLanguageModel.for_inference(model)
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base_model = AutoModelForCausalLM.from_pretrained(
"unsloth/Llama-3.2-1B-Instruct",
device_map="auto",
load_in_4bit=True,
)
model = PeftModel.from_pretrained(base_model, "Utkarsh736/llama_lora_indic_instruct")
tokenizer = AutoTokenizer.from_pretrained("Utkarsh736/llama_lora_indic_instruct")
Acknowledgements