astom-M/matsuo-llm-advanced-phase-d

The astom-M/matsuo-llm-advanced-phase-d is a 7.6 billion parameter language model, fine-tuned from Qwen/Qwen2.5-7B-Instruct, with a context length of 32768 tokens. This model is specifically optimized for agent tasks, leveraging datasets like u-10bei/dbbench_sft_dataset_react_v4, xlangai/spider, birdsql/bird_mini_dev, and the official Phase B ALFWorld v5 dataset. Its primary strength lies in its performance on complex agentic workflows, making it suitable for applications requiring structured reasoning and interaction.