beyoru/Qwen3-4B-I-1209

The beyoru/Qwen3-4B-I-1209 model is a 4-billion parameter instruction-tuned language model, based on Qwen3-4B-Instruct-2507, developed by Beyoru. It is specifically fine-tuned using Reinforcement Learning (GRPO) with multiple reward functions to excel in tool-use and function call generation. This model demonstrates enhanced performance in tool-use scenarios, achieving an overall accuracy of 0.7233 on ACEBench, outperforming its base model and other similar-sized models.