3 entries
Keyword: qwen3-5X post:Empero
AI research lab Empero has released Brewery, an open-source console agent designed to guide users through the entire fine-tuning process for text and image models.
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Article:Luis Chavez-Mattos
Deep Reinforce has introduced Ornith 1.5 35B-A3B, a mixture-of-experts model activating roughly 3 billion parameters per token out of 35 billion. According to published benchmarks, it surpasses direct competitors like Qwen3.6-35B across coding and agentic tasks, while closing the gap on much larger models such as Qwen3.5-397B.
From Video: AI Weekly Updates: Open-Source Model Surge, Agent Harnesses, and Meta's AI Reality Check
Link:ATH-MaaS
ATH-MaaS has released OvisOCR2, a lightweight 0.8-billion parameter multimodal model designed for page-level document parsing. Built on Qwen3.5-0.8B, it converts document page images directly into Markdown containing tables, LaTeX formulas, and visual bounding boxes.
From Video: Testing Alibaba Ovis-OCR2: Compact 0.8B Model for Document Parsing
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