Qwen models, including the Qwen2.5 series, utilize a ChatML format for structuring conversational prompts, similar to OpenAI's early models. This format relies on specific tokens like <|im_start|> and <|im_end|> and requires precise newline conventions to function correctly. Developers have noted that incorrect formatting can lead to subtle but significant issues in model output and performance. Additionally, recent community efforts have focused on refining and improving the Jinja chat templates for Qwen models, aiming to ensure compatibility and optimal performance by adhering closely to the original training formats. AI
IMPACT Ensures correct prompt formatting for Qwen models, improving output quality and compatibility with downstream applications.
RANK_REASON Discussion of chat templates and their implementation for specific models.
- Claude Opus 5 xHigh
- GPT 5.6 Sol xHigh
- Jinja Template Engine
- Qwen
- Alibaba Cloud
- AutoTokenizer
- ChatML
- <|endoftext|>
- <|im_end|>
- <|im_start|>
- OpenAI
- Qwen2
- Qwen2.5-7B-Instruct
- transformers
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