README.md

---
license: mit
datasets:
- mlabonne/guanaco-llama2-1k
language:
- en
base_model:
- NousResearch/Llama-2-7b-chat-hf
pipeline_tag: text-generation
tags:
- llama
- causal-lm
- text-generation
- fine-tuned
library_name: adapter-transformers
---


mlabonne/guanaco-llama2-1k
language:
en
base_model: NousResearch/Llama-2-7b-chat-hf
pipeline_tag: text-generation
tags:
llama
causal-lm
text-generation
fine-tuned


Fine-tuned LLaMA Model
This repository contains a fine-tuned version of the LLaMA model, optimized for enhanced text generation capabilities.
Model Description

Model Architecture: LLaMA (Large Language Model Meta AI)
Base Model: NousResearch/Llama-2-7b-chat-hf
Training Type: Fine-tuning
Language(s): English
License: MIT

Intended Uses
This model is designed for:

Text generation
Conversation completion
Natural language understanding tasks

Training and Evaluation
The model was fine-tuned on mlabonne/guanaco-llama2-1k dataset.


from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Smruti612/Llama-2-7b-chat-finetune_revise_smart")
model = AutoModelForCausalLM.from_pretrained("Smruti612/Llama-2-7b-chat-finetune_revise_smart")

# Example usage
text = "Your input text here"
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(result)

Model Details

Base Model: Llama-2-7b-chat-hf
Training Dataset: guanaco-llama2-1k

@misc{Smruti612/Llama-2-7b-chat-finetune_revise_smart,
  author = {Smruti Sonekar},
  title = {Fine-tuned LLaMA Model},
  year = {2024},
  publisher = {Hugging Face},
  journal = {Hugging Face Model Hub},
}

Limitations

Model outputs may occasionally be inaccurate or contain biases
Performance may vary depending on the specific use case
Limited by context window size

Acknowledgments
This model builds upon the LLaMA architecture developed by Meta AI. We acknowledge their contribution to the field of large language models.