morganstanley/qqWen-32B-RL-Reasoning

The morganstanley/qqWen-32B-RL-Reasoning model is a 32.8 billion parameter language model developed by Morgan Stanley, built on the Qwen 2.5 architecture. It is specifically designed for advanced reasoning and code generation within the Q programming language. This model underwent a three-stage training process including pretraining, supervised fine-tuning, and reinforcement learning tailored for Q. Its primary strength lies in its enhanced reasoning capabilities for financial markets, time-series analytics, and quantitative research applications.