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Burnham claims EU summit could boost growth and help control illegal migration – UK politics live25m ago UK to strengthen cyber defences as minister calls for AI firms to increase safety efforts39m ago The Risks of Anthropomorphizing AI40m ago Tesla's robotaxis face new regulator scrutiny over school zone-speeding claim43m ago I Asked Muse to Help Me Book My Holiday Travel. It Didn’t Fly Far.57m ago Can AI Keep Growing Exponentially? SemiAnalysis Makes the Case58m ago Microsoft Prepares to Put Gigawatts of Its Chips in Data Centers1h ago Is ‘Attention’ the Essence of Intelligence?1h ago What Alexandr Wang says he learned from Mark Zuckerberg's 'really long' WhatsApp DMs1h ago Google launches $180 Fitbit Edge with a bigger screen and AI coach2h ago Dystopian and dehumanising: that’s what it felt like when I was interviewed by an AI assistant2h ago Beyond the AI noise: How Stack Overflow is rethinking tech hiring2h ago ChatGPT vs. Claude vs. Gemini for Data Science Work: Here’s What I Found2h ago 48 hours to TechCrunch Disrupt 2026 — hear directly from the people building what’s next2h ago

Agents Machine Learning4 min reading time

Meet the Underdog Saluki 27B: A 2-bit Qwen3.8-27B That Beats the Original at Tool Calling

MarkTechPostPublished 3 days ago

Read the full article

Conway Research's Underdog Saluki 27B is a 2-bit compressed version of Qwen3.8-27B that fits in 7.89 GB, outperforming the original 54 GB model in tool calling tasks while maintaining 96% average benchmark retention.

#conway-research #local-ai-agents #model-compression #qwen3-8-27b #underdog-saluki-27b

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