qwen3

Model Card for qwen3

This model is a fine-tuned version of Qwen/Qwen3-1.7B. 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="trnqphu/qwen3", 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: 0.18.0
• Transformers: 4.52.3
• Pytorch: 2.6.0
• Datasets: 3.6.0
• Tokenizers: 0.21.1

Citations

This model was fine-tuned on AIxBlock platform.

It was trained using a proprietary training workflow from AIxBlock, a project under the ownership of the company.

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