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YTan2000/Qwen3.5-27B-TQ3_4S
Qwen3.5-27B-TQ3_4S is a image-text-to-text model from YTan2000. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as mit.
Clean base TQ34S GGUF release for Qwen3.5-27B.
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.gguf14.8 GB · 100%
From the Hugging Face model README
Clean base TQ3_4S GGUF release for Qwen3.5-27B.
TQ3_4S is a 3.5-bit Walsh-Hadamard-transform weight format with four per-8 scales per 32-weight block.
TQ3_4S12.9 GiBllama.cppmmproj-BF16.ggufQwen3.5-27B, wiki.test.raw, c=2048:
| Format | PPL | Size |
|---|---|---|
TQ3_4S | 6.8224 +/- 0.04534 | 12.9 GiB |
Q3_K_S | 6.8630 +/- 0.04583 | 11.4 GiB |
TQ3_1S | 6.9807 +/- 0.04690 | 12.9 GiB |
EXL3 3.0bpw | 7.027580 | ~13.0 GiB |
Notes:
TQ3_4S and Q3_K_S are full-pass llama-perplexity results.TQ3_1S is also a full-pass llama-perplexity result at c=2048.EXL3 3.0bpw is from a local 145 x 2048 eval, not llama-perplexity.TQ3_4S works equally well on smaller dense models.This model requires the public TurboQuant runtime fork:
Build and run:
git clone https://github.com/turbo-tan/llama.cpp-tq3.git
cd llama.cpp-tq3
cmake -B build -DGGML_CUDA=ON -DCMAKE_BUILD_TYPE=Release
cmake --build build -j
./build/bin/llama-server \
-m /path/to/Qwen_Qwen3.5-27B-TQ3_4S.gguf \
-ngl 99 \
-fa on \
-c 8192 \
-ctk q8_0 -ctv q8_0 \
--cache-ram 0 \
--no-warmup --jinja \
--reasoning off --reasoning-budget 0 --reasoning-format deepseek \
--port 8090
Use the included projector:
./build/bin/llama-server \
-m /path/to/Qwen_Qwen3.5-27B-TQ3_4S.gguf \
-mm /path/to/mmproj-BF16.gguf \
-ngl 99 -c 8192 -np 1 \
-ctk q8_0 -ctv q8_0 -fa on \
--cache-ram 0 --no-warmup --jinja \
--reasoning off --reasoning-budget 0 --reasoning-format deepseek \
--no-mmproj-offload
If your frontend says image input is unsupported, it is usually still pointed at a server instance that was started without --mmproj.
This upload is the clean base TQ3_4S release, not the private KLD-guided mixed-precision variants.