A TIES merge of three Qwen3.6-27B finetunes over an abliterated base.

TIES via mergekit, using huihui-ai/Huihui-Qwen3.6-27B-abliterated as the base. The abliterated base was chosen over stock Qwen/Qwen3.6-27B so that the abliteration is baked into the base rather than diluted through TIES sparsification of each model's delta.

All three at weight: 1, density: 1, normalized, int8_mask: true, bf16.

Three things about this merge that are worth knowing before you use it:

The Fable-Fusion parent is a dequantization, not an original checkpoint. DavidAU only ever released Fable-Fusion-711 as GGUF, which mergekit can't read. The parent used here is philipjohnbasile's bf16 reconstruction from the Q8_0 GGUF. Q8_0 is near-lossless but not lossless, so whatever error that dequantization carries is inherited by this merge. That repo's author also reports that the released weights did not reproduce the source card's refusal-rate claims under their testing, and has stopped describing them as uncensored — take the "uncensored" half of the lineage with a grain of salt.

The vision tower was grafted back on after merging. mergekit merged the language model only — the output had 850 model.language_model.* tensors and no model.visual.* at all, while still declaring Qwen3_5ForConditionalGeneration in its config. The 333 vision tensors and the VLM config.json / preprocessor_config.json were copied back in from the abliterated base afterward. The vision encoder is therefore untouched base weights, not a merge of the parents' vision towers. Final index: 1199 tensors (850 language, 333 vision, 15 MTP, 1 lm_head), verified complete against the shards with no missing or orphaned keys.

The MTP head comes from the base, not from the merge. The merge produced 4 MTP tensors; the graft step replaced them with the base's 15. Those 4 merged tensors are still physically present in the language shards but are unreferenced by model.safetensors.index.json and will not be loaded.

Untested at the time of upload — no generation smoke test has been run against these weights.