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TQ3_4S GGUF build of Qwen/Qwen3.8-27B with native MTP (Multi-Token Prediction) draft heads for speculative decoding.llama.cpp builds cannot load the TQ3_4S tensor type.1git clone https://github.com/turbo-tan/llama.cpp-tq3.git
2cd llama.cpp-tq3
3
4cmake -B build -DGGML_CUDA=ON -DCMAKE_BUILD_TYPE=Release
5cmake --build build -jQwen3.8-27B-MTP-TQ3_4S.ggufb734f643665a9d1f356cfcca0ef65572eb08ab9ab25c29b1ddf4ac602548e2cbTQ3_4S (3.5-bit Walsh-Hadamard transform format)qwen35 — 64 layers, hybrid Gated DeltaNet + Gated Attention, 1 MTP draft block1./build/bin/llama-server \
2 -m Qwen3.8-27B-MTP-TQ3_4S.gguf \
3 --host 127.0.0.1 --port 8080 \
4 -c 32768 -np 1 -ngl 99 -fa on \
5 -ctk q8_0 -ctv tq3_0 \
6 --spec-type draft-mtp \
7 --spec-draft-n-min 1 \
8 --spec-draft-n-max 2 \
9 --spec-draft-p-min 0.0 \
10 --no-spec-draft-backend-sampling \
11 --reasoning off --jinja--spec-draft-n-max 2 is optimal for the 3.8 MTP head (measured)--no-spec-draft-backend-sampling keeps CUDA graph reuse high--reasoning-format deepseek --reasoning-budget N