This is a speculator model designed for use with Qwen/Qwen3-32B, based on the EAGLE-3 speculative decoding algorithm. It was trained by Architecture Management Team, Information Technology Department, China Merchants Bank (CMB). The training data is a combination of Chinese and English open-source datasets, with data synthesis and cleaning performed on the original datasets. The following are the sources of the original training data:

This model should be used with the Qwen/Qwen3-32B chat template, specifically through the /chat/completions endpoint.

It is important to note that when using vLLM, you need to enable the model configuration file for vLLM, which named config_vllm.json. Before entering the following commands, you need to rename the file from config_vllm.json to config.json to make it effective.