Quality control methods for Chinese output
Solved in terms of both model configuration and input design:
- Loading non-thinking templates: Manually download and apply specialized templates
qwen3_nonthinking.jinja(Download command:wget https://huggingface.co/Menlo/Jan-nano/raw/main/qwen3_nonthinking.jinja) - Adjusting the decoding strategy: Settings
top-k=40cap (a poem)repetition_penalty=1.2Balancing diversity and coherence - Input normalization: Add a directive at the beginning of the Chinese prompt (e.g.
[简明中文])
Remedy: UsejiebaPerform post-processing to force ordering
This answer comes from the articleJan-nano: a lightweight and efficient model for text generationThe
May not be reproduced without permission:AI productivity tools " How to prevent Jan-nano from getting disordered when generating Chinese?
