David Hendrickson(@TeksEdge):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 creator’s blind test which tests what response was actually human 🤖 Official Qwen3.8-27B → 15.1% ❤️ Humanlike 2.0 → 23.5% It was trained on real + synthetic conversations, then on-policy distilled so it learned the behavior without needing a “talk like a human” system prompt. It didn’t forget how to reason accurately either 🛠️ tool calling 💻 code 📝 instructions 🧠 reasoning 👁️ optional vision 📚 262K context Local versions 💾 IQ4_XS → 15.10GB 💾 Q4_K_M → 16.56GB 🦙 llama.cpp 🖥️ LM Studio / Ollama 🔓 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. 🔗 Link in ALT.

2026.10.11 12:05

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 creator’s blind test which tests what response was actually human 🤖 Official Qwen3.8-27B → 15.1% ❤️ Humanlike 2.0 → 23.5% It was trained on real + synthetic conversations, then on-policy distilled so it learned the behavior without needing a “talk like a human” system prompt. It didn’t forget how to reason accurately either 🛠️ tool calling 💻 code 📝 instructions 🧠 reasoning 👁️ optional vision 📚 262K context Local versions 💾 IQ4_XS → 15.10GB 💾 Q4_K_M → 16.56GB 🦙 llama.cpp 🖥️ LM Studio / Ollama 🔓 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. 🔗 Link in ALT.