Qwable 9B Claude Fable 5 Developed by Empero Qwable 9B Claude Fable 5 is a full parameter supervised fine tune of Qwen/Qwen3.5 9B on a curated mix of agentic coding and reasoning traces. It is a distillation style fine tune: the training targets are outputs from other assistants (Claude Fable 5 and a GPT 5.5 terminal agent), teaching the model to imitate their reasoning and tool use style on long, multi turn coding and agent tasks. Early release. Qwable 9B Claude Fable 5 brings strong coding and agentic behavior out of the box. A full suite of quantitative benchmarks (coding, agentic, and safety) is underway and will be added to this card; training quality is already backed by held out validation results (see Evaluation). See Provenance & licensing for licensing notes. Model details Developed by: Empero Base model: Qwen3.5 9B — a dense, natively multimodal model with a hybrid attention stack (3:1 Gated DeltaNet linear attention to Gated full attention), ~152k vocabulary, long native context. Fine tune type: full parameter (all text backbone weights trained). The vision tower was frozen — training was text only , so vision behavior is inherited from the base and was not tuned or tes…
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