๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

David Hendrickson
@TeksEdge
CEO & Founder | PhD | Startup Advisor | @Columbia | Author Generative Software Engineering | ๐Ÿ”” Follow for AI & Vibe Coding Tips ๐Ÿ‘‡
๊ฐ€์ž… July 2023
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Someone trained Qwen3.8-27B to stop chatting like an AI assistant respond like a normal person. The local quant is only 15.1GB. Qwen3.8-27B-Humanlike-Chat 2.0 In the creatorโ€™s blind test which tests what response was actually human ๐Ÿค– Official Qwen3.8-27B โ†’ 15.1% โค๏ธ Humanlike 2.0 โ†’ 23.5% It was trained on real + synthetic conversations, then on-policy distilled so it learned the behavior without needing a โ€œtalk like a humanโ€ system prompt. It didnโ€™t forget how to reason accurately either ๐Ÿ› ๏ธ tool calling ๐Ÿ’ป code ๐Ÿ“ instructions ๐Ÿง  reasoning ๐Ÿ‘๏ธ optional vision ๐Ÿ“š 262K context Local versions ๐Ÿ’พ IQ4_XS โ†’ 15.10GB ๐Ÿ’พ Q4_K_M โ†’ 16.56GB ๐Ÿฆ™ llama.cpp ๐Ÿ–ฅ๏ธ LM Studio / Ollama ๐Ÿ”“ Apache 2.0 What I'm saying is it isn't another uncensored model. It makes a Local AI model feel less like an assistant and more like somebody you're texting. ๐Ÿ”— Link in ALT.
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