Fine-tuned Llama-3.2-1B-Instruct
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct on custom text generation data.
Model description
This model was fine-tuned using LoRA on a custom dataset. It's designed to [briefly describe what your model is good at].
How to use
from transformers import AutoTokenizer, AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("bhatia1289/llama-1B-instruct-finetuned")
tokenizer = AutoTokenizer.from_pretrained("bhatia1289/llama-1B-instruct-finetuned")
Example usage
input_text = "You are an AI model that generates informative text. Please provide information about:"
input_ids = tokenizer(input_text, return_tensors="pt").input_ids
output = model.generate(input_ids, max_length=200)
print(tokenizer.decode(output[0], skip_special_tokens=True))