| --- |
| base_model: Qwen/Qwen2.5-Coder-3B-Instruct |
| library_name: transformers |
| model_name: out_1 |
| tags: |
| - generated_from_trainer |
| - sft |
| - trl |
| licence: license |
| --- |
| |
| # Model Card |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct). |
| It has been trained using [TRL](https://github.com/huggingface/trl). |
|
|
| ## Quick start |
|
|
| ```python |
| from transformers import pipeline |
| |
| question = "Write a Python function to implement insertion sort on a list of floating-point numbers and return the sorted list." |
| generator = pipeline("text-generation", model="Luca0867/selfinstruct") |
| output = generator([{"role": "user", "content": question}], max_new_tokens=1024, return_full_text=False)[0] |
| print(output["generated_text"]) |
| ``` |
|
|
| ## Training procedure |
|
|
| |
|
|
|
|
|
|
| This model was trained with SFT. |
|
|
| ### Framework versions |
|
|
| - TRL: 1.1.0 |
| - Transformers: 5.5.4 |
| - Pytorch: 2.10.0+cu128 |
| - Datasets: 4.8.4 |
| - Tokenizers: 0.22.2 |
|
|
|
|
