RichardErkhov/peaceAsh_-_smolcourse_chapter1-gguf
0606
Quantization made by Richard Erkhov.
smolcourse_chapter1 - GGUF
- Model creator: https://huggingface.co/peaceAsh/
- Original model: https://huggingface.co/peaceAsh/smolcourse_chapter1/
Original model description: --- basemodel: HuggingFaceTB/SmolLM2-135M libraryname: transformers modelname: sftoutput tags:
- generatedfromtrainer
- trl
- sft licence: license ---
Model Card for sft_output
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M. It has been trained using TRL.
Quick start
from transformers import pipeline
question = "Can you write a python function to add 2 numbers?"
generator = pipeline("text-generation", model="peaceAsh/smolcourse_chapter1", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])Training procedure
This model was trained with SFT.
Framework versions
- TRL: 0.12.1
- Transformers: 4.46.3
- Pytorch: 2.5.1
- Datasets: 3.1.0
- Tokenizers: 0.20.3
Citations
Cite TRL as:
@misc{vonwerra2022trl,
title = {{TRL: Transformer Reinforcement Learning}},
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
year = 2020,
journal = {GitHub repository},
publisher = {GitHub},
howpublished = {\url{https://github.com/huggingface/trl}}
}