metadata
library_name: transformers
datasets:
- PowerInfer/QWQ-LONGCOT-500K
base_model:
- Qwen/Qwen2.5-Coder-0.5B-Instruct
Qwen2.5-Coder-0.5B-QwQ-draft
A draft model trained for Qwen/QwQ-32B-Preview
- vocabulary size of 152064, same as QwQ-32B-Preview (can be used in VLLM directly without any hack)
- trained from Qwen/Qwen2.5-Coder-0.5B-Instruct
- on PowerInfer/QWQ-LONGCOT-500K 2 epochs
- draft acceptance rate above 0.8
- up to x2.5 token speed in math problems (33 toks/s vs. 85 toks/s)