Rain-7B-v0.1 is an experimental 7.7 billion parameter language model developed by raincandy-u, fine-tuned from Qwen1.5-7B-Chat. This model is specifically optimized for chain of thought reasoning, demonstrating improved performance on MMLU benchmarks compared to its base model. It is best suited for tasks requiring step-by-step thinking and complex problem-solving.
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