README.md

---
base_model: codellama/CodeLlama-7b-hf
library_name: transformers
model_name: outputs
tags:
- generated_from_trainer
- sft
- trl
licence: license
---

# Model Card for outputs

This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf).
It has been trained using [TRL](https://github.com/huggingface/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"/>](https://wandb.ai/mos7589-prompt-inversion/huggingface/runs/a1be6dcy) 


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}}
}
```