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student_qwen3_1p7b_gpqa_self_numseq_seq_kd

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Quick start

python
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="None", 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: 0.29.0
Transformers: 5.8.1
Pytorch: 2.11.0
Datasets: 4.7.0
Tokenizers: 0.22.2

Citations

Cite TRL as:

bibtex
@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}
}

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Shellypeckie

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Qwen/Qwen3-1.7B

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this model

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Quick start

python
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="None", 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: 0.29.0
Transformers: 5.8.1
Pytorch: 2.11.0
Datasets: 4.7.0
Tokenizers: 0.22.2

Citations

Cite TRL as:

bibtex
@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}
}

student_qwen3_1p7b_gpqa_self_numseq_seq_kd

Get help setting up a custom Dedicated Endpoints.

README

Quick start

Training procedure

Framework versions

Citations

Explore FriendliAI today

README

Quick start

Training procedure

Framework versions

Citations