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Teacher He Jiyan and 7 PhD students from Zhongguancun College trained a 7B model from scratch in 3 months, achieving state-of-the-art performance in the 7B model category, with insights on efficient training and data quality.
SenseTime releases SenseNova-Vision-7B-MoT, a fully open-sourced unified multimodal model that handles multiple vision tasks using natural language instructions, supporting detection, OCR, depth, segmentation, and more.
LoopCoder-v2, a 7B model trained on 18T tokens, achieves 64.4 on SWE-bench Verified with only two loops, outperforming models 30x larger. The model and code are available on Hugging Face.
MOOSE-Star presents a 7B model fine-tuned from DeepSeek-R1-Distill-Qwen-7B for scientific hypothesis discovery, along with a dataset of 108K NCBI papers. The model achieves state-of-the-art inspiration retrieval accuracy, outperforming larger models like GPT-5.4 and Gemini-3 Pro.