$SUI

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Total Engagement - Comments: 0, Retweets: 1, Likes: 4, Impressions: 222

Verbatim Community Citations & Social Evidence 1 source posts analyzed

@RoundtableSpace

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Unsloth just made Kimi K3 run on a Mac Studio. > 1-bit quantization shrunk it from 1.56TB down to 594GB 62% smaller, 78.9% accuracy retained. 2-bit hits 90% accuracy at 861GB. > Rivals Claude 4.8 Opus and GPT-5.6 on coding, agentic tasks, and long-context > Runs on any Mac

AI visual note: The image showcases Unsloth's breakthrough in running the Kimi K3 (Moonshot AI's 2.8T parameter MoE model) locally via dynamic 1-bit (594GB, 78.9% accuracy) and 2-bit (861GB, 90% accuracy) quantization on a Mac Studio, with hardware tables and performance charts highlighting its competitive edge against Claude 4.8 Opus and GPT-5.6.

❤️ 6 likes · 🔁 0 retweets · 💬 4 comments 👁️ 3.6K views

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