Near-lossless MLX oQ6e quantization of Zynerji/Ektome-Qwen3.8-27B-PristinelyUncensored, with the native 15-tensor MTP head and full vision tower preserved.

The Ektomē refusal-removal work belongs to Zynerji. This repository contributes the MLX/oMLX quantization, independent tensor/geometry audit, and runtime validation. The untouched upstream base is Qwen/Qwen3.8-27B.

The embedding table and LM head are the two expected importance-matrix exceptions and are protected at Q8. The artifact contains no NaN or infinity values.

Before quantization, the Ektome BF16 source was compared tensor-by-tensor with the pinned official checkpoint:

Runtime checks passed for loading, native MTP drafting, tool calls and tool results, vision/OCR, and retrieval across a roughly 96K-token prompt. A true cold 95,995-token prefill completed without a memory-guard rejection on a 48 GB Apple Silicon host. The first visible answer was clipped by an overly small completion cap; a corrected recheck returned all distributed retrieval targets.

This is a quantized derivative, so “near-lossless” does not mean mathematically lossless. No post-quant benchmark suite is claimed beyond the validation above.

Download the repository into an oMLX model directory:

Then select Qwen3.8-27B-Ektome-oQ6e-mtp through the oMLX admin UI or its OpenAI-compatible API. Native speculative decoding requires enabling MTP in the model settings; the validated configuration used five draft tokens. A practical 48 GB profile used a 98,304-token context window and Q4 TurboQuant KV cache.

Vision assets are included and were validated, but a text-only loader override can be used when a client does not need image input.

Apache-2.0, inherited from Qwen3.8-27B and the Ektome source. See the upstream model cards for their full methodology, limitations, and usage notes. No warranty is provided; users are responsible for lawful and responsible use.