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="FlameF0X/LFM2.5-1.2B-Thinking-CodeX", 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: 1.2.0
Transformers: 5.0.0
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}
}
Runs of FlameF0X LFM2.5-1.2B-Thinking-CodeX on huggingface.co
386
Total runs
0
24-hour runs
-5
3-day runs
-26
7-day runs
97
30-day runs
More Information About LFM2.5-1.2B-Thinking-CodeX huggingface.co Model
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