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erokhins/Qwen3.8-test-Q4Q2
Qwen3.8-test-Q4Q2 is a machine learning model from erokhins. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Experimental. A 50/50 weight merge of Qwen3.6-27B and Qwen3.8-27B, quantized to llama.cpp Q40, with a mixed-precision emulation applied to the FFN:
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.gguf15.7 GB · 100%
From the Hugging Face model README
Experimental. A 50/50 weight merge of Qwen3.6-27B and Qwen3.8-27B, quantized to llama.cpp Q4_0, with a mixed-precision emulation applied to the FFN:
xy00), block scales
unchanged.This is an emulation of a Q4/Q2 mixed format: the file is a standard Q4_0 GGUF (same size, ~15.5 GB); only the information content of the unstable channels is Q2. A native split-tensor implementation would land at ~3.6 bits/weight overall (~12.3 GB).
The chat template is Qwen3.8's. The MTP head is included (nextn layer, kept at full Q4_0) — enable self-drafting speculative decoding with:
llama-server -m Qwen3.8-test-Q4Q2.gguf --spec-type draft-mtp
Observed on an Apple Silicon Mac (Metal): smoke tests indistinguishable from the plain Q4_0 baseline at T=0; 46–48 tok/s decode at 65–79% MTP draft acceptance (mean accepted chain ~3.3).
Give generation enough budget: the template enables thinking, which can consume several hundred tokens before the answer.