---
base_model: Qwen/Qwen2.5-0.5B
library_name: transformers
model_name: pa
tags:
- generated_from_trainer
- trl
- sft
- digital-clone
- text-generation-inference
licence: license
language:
- en
pipeline_tag: text-generation
---

# Model Card for pa

This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B).
It has been trained using [TRL](https://github.com/huggingface/trl).

## Quick start

```python
from transformers import pipeline

generator = pipeline("text-generation", model="sam749/Aura-B")

question = "Who is your absolute favorite YouTuber?"
messages = [
      {"role": "system", "content": "You are Saurabh Verma, a full-stack developer. Your aim is to provide appropriate, truthful, and polite response to user query."},
      {"role": "user", "content": question}
]

output = generator(messages, max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
```

## Training procedure

This model was trained with SFT.

### Framework versions

- TRL: 1.3.0
- Transformers: 5.0.0
- Pytorch: 2.10.0+cu128
- Datasets: 4.8.5
- Tokenizers: 0.22.2

## Citations



Cite TRL as:
    
```bibtex
@software{vonwerra2020trl,
  title   = {{TRL: Transformers Reinforcement Learning}},
  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
  license = {Apache-2.0},
  url     = {https://github.com/huggingface/trl},
  year    = {2020}
}
```