In brief
Qwable 27B is a full fine-tune of Alibaba's Qwen3.6-27B, trained on a Fable 5-style reasoning dataset, designed to replicate the structured, deliberate thinking style of Anthropic's newest flagship model.
The abliterated version removes the model's built-in refusal behavior by surgically modifying its weights using llama.cpp's cvector-generator.
Both models run locally, cost nothing per query, and require neither Anthropic's API nor its mandatory policies.
Anthropic spent last week apologizing for Fable 5's invisible safeguards, and then the U.S. government ordered the model pulled for all foreign nationals over a disputed jailbreak finding.A few days later, a developer on Hugging Face uploaded a model that used Fable’s reasoning to guide a local model—and now even your potato PC can run a better model.The model is called Qwable—Qwen + Fable, if the portmanteau wasn't immediately obvious. It's a full fine-tune of Alibaba's Qwen3.6-27B base, built by developer Mia (Mia-AiLab on Hugging Face) on a dataset of Fable 5-style reasoning examples. The goal is a 27-billion parameter model that runs on consumer hardware and thinks the way Fable 5 thinks. (Parameters determine a model’s breadth of knowledge, with more generally meaning more capable.)
