AjayMukundS/Llama2_7B_fine_tuned

Model Card for SFT_FineTuned_Llama2-7B_hf-v0.3

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf. It has been trained using TRL.

Quick start

from transformers import pipeline

input_judgement = "___Input Legal Judgement___"
generator = pipeline("Legal Text Summarization", model="AjayMukundS/Llama2_7B_fine_tuned", device="cuda")
output = generator([{"role": "summarizer", "content": input_judgement}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])

Training procedure

This model was trained with SFT.

Framework versions

• TRL: 0.14.0
• Transformers: 4.48.3
• Pytorch: 2.5.1+cu124
• Datasets: 3.2.0
• Tokenizers: 0.21.0

Citations

Cite TRL as:

@misc{vonwerra2022trl,
    title        = {{TRL: Transformer Reinforcement Learning}},
    author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}