metadata
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. It has been trained using TRL.
Quick start
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