EMLab's KnowLine offers seven open-weight decision models for RAG, agent harnesses, and…
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EMLab's KnowLine offers seven open-weight decision models for RAG, agent harnesses, and enterprise workflows, spanning dense models from 0.8B to 31B plus two MoE options. 🤖https://modelscope.ai/collections/EMLab/KnowLine-Decision 🏆 SOTA on private decision tests: KnowLine-31B-Gen1 achieves 71.86 on Jev Decision Index 0.4.1 Full. The score combines private same-skill and new-domain tests, excluding public-suite results. ⚡ Low latency with sparse activation: KnowLine-35B-A3B-Gen1.5 activates about 3B parameters and scores 65.77 Full, with 47.1 ms median latency on the leaderboard's single RTX
Posted by ModelScope (16.8k followers) 42 min ago · 0 likes · 297 views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: modelscope.ai.
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