lewtun / smollm2-135M-everyday-sft

huggingface.co
Total runs: 11
24-hour runs: 0
7-day runs: -5
30-day runs: -3
Model's Last Updated: April 30 2026
text-generation

Introduction of smollm2-135M-everyday-sft

Model Details of smollm2-135M-everyday-sft

Model Card for smollm2-135M-everyday-sft

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M on the HuggingFaceTB/smoltalk dataset. It has been trained using TRL .

Quick start
from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="lewtun/smollm2-135M-everyday-sft", 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: 1.3.0
  • Transformers: 5.7.0
  • Pytorch: 2.11.0
  • Datasets: 4.8.5
  • 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}
}

Runs of lewtun smollm2-135M-everyday-sft on huggingface.co

11
Total runs
0
24-hour runs
-1
3-day runs
-5
7-day runs
-3
30-day runs

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smollm2-135M-everyday-sft is an open source model from GitHub that offers a free installation service, and any user can find smollm2-135M-everyday-sft on GitHub to install. At the same time, huggingface.co provides the effect of smollm2-135M-everyday-sft install, users can directly use smollm2-135M-everyday-sft installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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