mariasandu/python-coding-assistant-v2

Model Card for outputs

This model is a fine-tuned version of codellama/CodeLlama-7b-hf. It has been trained using TRL.

Quick start

import torch
from transformers import pipeline, AutoTokenizer

question = "Write a Python function that takes a list of numbers and returns the list sorted in ascending order without using the built-in `sorted()` function. Return ONLY code in your output. ###Python code:"
generator = pipeline("text-generation", model="mariasandu/python-coding-assistant-v2", device="cuda")

tokenizer = AutoTokenizer.from_pretrained("mariasandu/python-coding-assistant-v2")
tokenizer.chat_template = "{% for message in messages %}{% if message['role'] == 'user' %}[INST] {{ message['content'] }} [/INST]{% else %}{{ message['content'] }}{% endif %}{% endfor %}"
output = generator(question)[0]
print(output['generated_text'])

Training procedure

This model was trained with SFT.

Framework versions

• TRL: 0.25.1
• Transformers: 4.57.1
• Pytorch: 2.8.0+cu126
• Datasets: 4.0.0
• Tokenizers: 0.22.1

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 Gallou{\'e}dec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}