Qwen3-4B-Instruct

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1. Oct 19
   Show HN: qwen3-4b-deslop fine-tune trains AI writing tics out of Qwen3-4B

   A developer released qwen3-4b-deslop, a LoRA fine-tune of Qwen3-4B-Instruct-2507 trained to suppress assistant-style writing habits, distributed as full-precision weights and a 2.5 GB Q4_K_M GGUF build for Ollama and llama.cpp. Using the author's own regex-based slop detector, the score on 40 held-out prompts fell from 121 to 12.5 per 1,000 words, em dashes dropped from 20.5 per 1,000 words to zero, and 68% of answers landed in the range the author associates with human writing; an intermediate version scored 9.9 but produced opinion pieces without a stance and invented studies, which a second task-fit filter addressed at the cost of a slightly higher score. The author reports the model still answered 30 of 30 factual questions correctly and matched requested genre and length as often as the original, but cautions that no blind reader test has verified the score, that the task-fit checks are simple rules and the training data was filtered on the same checks, and that performance on long conversations, other languages and tool use may be no better than the original or worse.

   Hacker News · AI（100+ 分） · 🔥 0

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