LM/Qwen 3.8 27B

llama.cpp

• https://unsloth.ai/docs/basics/dynamic-3.0-ggufs

Running

# works
./llama.cpp/sycl/bin/llama-server \
  -hf unsloth/Qwen3.8-27B-GGUF:UD-Q6_K_M \
  --spec-type draft-mtp --spec-draft-n-max 2 -ngld 99 \
  -c 64000 -ctk q8_0 -ctv q8_0 \
  -fa on -ngl 99 --load-mode mlock -np 1 --jinja --reasoning-preserve -t 8

# with turboquant
./llama.cpp/vulkan/bin/llama-server \
  -hf unsloth/Qwen3.8-27B-GGUF:UD-Q6_K_M \
  --spec-type draft-mtp --spec-draft-n-max 2 -ngld 99 \
  -c 64000 -ctk q8_0 -ctv turbo4 \
  -fa on -ngl 99 --load-mode mlock -np 1 --jinja --reasoning-preserve -t 8

Benchmark for me

# control group
./llama.cpp/sycl/bin/llama-bench \
  -hf unsloth/Qwen3.8-27B-GGUF:UD-Q5_K_XL \
  -fa on -ctk q8_0 -ctv q8_0 -ngl 99

| model                          |       size |     params | backend    | ngl | type_k | type_v |  fa |            test |                  t/s |
| ------------------------------ | ---------: | ---------: | ---------- | --: | -----: | -----: | --: | --------------: | -------------------: |
| qwen35 27B Q5_K - Medium       |  19.43 GiB |    27.32 B | SYCL       |  99 |   q8_0 |   q8_0 |   1 |           pp512 |        951.05 ± 7.72 |
| qwen35 27B Q5_K - Medium       |  19.43 GiB |    27.32 B | SYCL       |  99 |   q8_0 |   q8_0 |   1 |           tg128 |         22.17 ± 0.06 |

# Test -ctv
./llama.cpp/sycl/bin/llama-bench \
  -hf unsloth/Qwen3.8-27B-GGUF:UD-Q5_K_XL \
  -fa on -ctk q8_0 -ctv q4_0 -ngl 99

# Test -ub
./llama.cpp/sycl/bin/llama-bench \
  -hf unsloth/Qwen3.8-27B-GGUF:UD-Q5_K_XL \
  -fa on -ctk q8_0 -ctv q8_0 -ngl 99 -ub 2048

# Test -fa off
./llama.cpp/sycl/bin/llama-bench \
  -hf unsloth/Qwen3.8-27B-GGUF:UD-Q5_K_XL \
  -fa off -ngl 99

# Test bartowski
./llama.cpp/sycl/bin/llama-bench \
  -hf bartowski/Qwen3.8-27B-GGUF:Q5_K_L \
  -fa on -ctk q8_0 -ctv q8_0 -ngl 99

| model                          |       size |     params | backend    | ngl | type_k | type_v |  fa |            test |                  t/s |
| ------------------------------ | ---------: | ---------: | ---------- | --: | -----: | -----: | --: | --------------: | -------------------: |
| qwen35 27B Q5_K - Medium       |  20.05 GiB |    27.32 B | SYCL       |  99 |   q8_0 |   q8_0 |   1 |           pp512 |        997.64 ± 2.90 |
| qwen35 27B Q5_K - Medium       |  20.05 GiB |    27.32 B | SYCL       |  99 |   q8_0 |   q8_0 |   1 |           tg128 |         22.08 ± 0.06 |

# Test OpenVINO
GGML_OPENVINO_DEVICE=GPU GGML_OPENVINO_STATEFUL_EXECUTION=1 ./llama.cpp/openvino/bin/llama-bench \
  -hf unsloth/Qwen3.8-27B-GGUF:Q4_0 \
  -fa on -ngl 99

Benchmark for community

./llama.cpp/sycl/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:UD-Q6_K -fa 0,1
./llama.cpp/sycl/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:UD-Q5_K_XL -fa 0,1
./llama.cpp/sycl/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:UD-Q5_K_M -fa 0,1
./llama.cpp/sycl/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:UD-Q5_K_S -fa 0,1
./llama.cpp/sycl/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:UD-Q4_K_XL -fa 0,1
./llama.cpp/sycl/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:Q4_0 -fa 0,1
./llama.cpp/sycl/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:UD-IQ4_XS -fa 0,1

./llama.cpp/sycl-nodnn/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:UD-Q5_K_XL -fa 0,1
./llama.cpp/sycl-nodnn/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:Q4_0 -fa 0,1
./llama.cpp/sycl-nodnn/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:UD-IQ4_XS -fa 0,1

./llama.cpp/sycl-f32/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:UD-Q5_K_XL -fa 0,1
./llama.cpp/sycl-f32/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:Q4_0 -fa 0,1
./llama.cpp/sycl-f32/bin/llama-bench -hf unsloth/Qwen3.8-27B-GGUF:UD-IQ4_XS -fa 0,1

Experiment

# search
hf models ls --search "Qwen3.8-27B" --apps llama.cpp --expand "downloads,likes,lastModified" --sort downloads --no-truncate --limit 10

# unsloth
hf models ls --tree -R -h unsloth/Qwen3.8-27B-GGUF

hf download unsloth/Qwen3.8-27B-GGUF --include "*UD-IQ4_XS*"
hf download unsloth/Qwen3.8-27B-GGUF --include "*UD-Q4_K_XL*"
hf download unsloth/Qwen3.8-27B-GGUF --include "*UD-Q5_K_XL*"
hf download unsloth/Qwen3.8-27B-GGUF --include "*UD-Q6_K.gguf"
hf download unsloth/Qwen3.8-27B-GGUF --include "*UD-Q6_K_M*"
hf download unsloth/Qwen3.8-27B-GGUF --include "*UD-Q6_K_L*"
hf download unsloth/Qwen3.8-27B-GGUF --include "*UD-Q6_K_XL*"
hf download unsloth/Qwen3.8-27B-GGUF --include "*UD-Q8_K_L*"
hf download unsloth/Qwen3.8-27B-GGUF --include "*Q4_0*"
hf download unsloth/Qwen3.8-27B-GGUF --include "*Q8_0*"
hf download unsloth/Qwen3.8-27B-GGUF --include "mmproj-BF16*"
hf download unsloth/Qwen3.8-27B-GGUF --include "*mtp-Qwen3.8-27B-Q4_0.gguf"

find ~/.cache/huggingface/hub -name "*Qwen3.8-27B-UD-Q8_K_L.gguf"
find ~/.cache/huggingface/hub -name "*Qwen3.8-27B-UD-Q8_K_L.gguf" -exec sh -c 'rm -f "$1" "$(readlink -f "$1")"' _ {} \;

tree -h ~/.cache/huggingface/hub/models--unsloth--Qwen3.8-27B-GGUF

Accuracy

https://unsloth.ai/docs/~gitbook/image?url=https%3A%2F%2F3215535692-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FxhOjnexMCB3dmuQFQ2Zq%252Fuploads%252Fl9piThTmmUsePst5w3F2%252Fimage.png%3Falt%3Dmedia%26token%3D821e88e2-ad4e-40bf-adf2-e13837228e82&width=768&dpr=3&quality=100&sign=dd5f7cb5&sv=2