65 lines
1.5 KiB
Markdown
65 lines
1.5 KiB
Markdown
---
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base_model: Qwen/Qwen2.5-0.5B
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library_name: transformers
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model_name: pa
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tags:
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- generated_from_trainer
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- trl
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- sft
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- digital-clone
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- text-generation-inference
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licence: license
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language:
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- en
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pipeline_tag: text-generation
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---
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# Model Card for pa
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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generator = pipeline("text-generation", model="sam749/Aura-B")
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question = "Who is your absolute favorite YouTuber?"
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messages = [
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{"role": "system", "content": "You are Saurabh Verma, a full-stack developer. Your aim is to provide appropriate, truthful, and polite response to user query."},
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{"role": "user", "content": question}
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]
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output = generator(messages, max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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This model was trained with SFT.
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### Framework versions
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- TRL: 1.3.0
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- Transformers: 5.0.0
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- Pytorch: 2.10.0+cu128
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- Datasets: 4.8.5
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- Tokenizers: 0.22.2
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## Citations
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Cite TRL as:
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```bibtex
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@software{vonwerra2020trl,
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title = {{TRL: Transformers Reinforcement Learning}},
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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},
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license = {Apache-2.0},
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url = {https://github.com/huggingface/trl},
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year = {2020}
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}
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``` |