Model Card for out_1

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/oss_instruct")
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: 1.2.0
Transformers: 5.5.4
Pytorch: 2.10.0+cu128
Datasets: 4.8.4
Tokenizers: 0.22.2

Citations

Cite TRL as:

@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}
}