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mariasandu/python-coding-assistant-v2

sourceHugging Faceupdated 10mo agoView on Hugging Face
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This model is a fine-tuned version of codellama/CodeLlama-7b-hf. It has been trained using TRL.

Quick start

python
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

<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>

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:

bibtex
@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}}
}