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mariasandu/python_coding_assistant

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
from transformers import pipeline

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."
generator = pipeline("text-generation", model="mariasandu/python-coding-assistant", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[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: 0.25.0
  • 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}}
}