Bonsai 27B 1-bit CRACK GGUF
Vision-language · native Q1_0 · Prism llama.cpp
52.50% MMLU-200 logit · 97.81% full HB-320
Native Q1_0 GGUF release of the Bonsai 27B CRACK model for the Prism llama.cpp fork. This repo contains the quantized language model and the matching F16 Qwen3VL multimodal projector.
Files
| File | Purpose | Size |
|---|---|---|
Bonsai-27b-1bit-CRACK-Q1_0.gguf | 64-block hybrid language model, Q1_0 | 4.35 GiB |
mmproj-Bonsai-27b-1bit-CRACK-F16.gguf | F16 image/video-capable Qwen3VL projector | 0.86 GiB |
The projector contains 334 tensors and both temporal patch slices
v.patch_embd.weight and v.patch_embd.weight.1 (temporal_patch_size=2). The
original image and video processor configuration files are included. Image
input is live-tested. Direct video-container input depends on the Prism runtime
surface; extract frames or use a compatible Qwen3VL video client when the CLI
does not accept the container directly. See preprocessor_config.json and
video_preprocessor_config.json for the retained preprocessing metadata.
Runtime
These native low-bit types require the Prism fork:
git clone https://github.com/PrismML-Eng/llama.cpp
cd llama.cpp
cmake -B build && cmake --build build -j
Text:
./build/bin/llama-cli \
-m Bonsai-27b-1bit-CRACK-Q1_0.gguf \
--reasoning off -ngl 99 -n 256 \
-p "Explain quantum computing in simple terms."
Image/VL:
./build/bin/llama-cli \
-m Bonsai-27b-1bit-CRACK-Q1_0.gguf \
--mmproj mmproj-Bonsai-27b-1bit-CRACK-F16.gguf \
--image image.jpg --reasoning off -ngl 99 -n 256 \
-p "Describe the image precisely."
Server:
./build/bin/llama-server \
-m Bonsai-27b-1bit-CRACK-Q1_0.gguf \
--mmproj mmproj-Bonsai-27b-1bit-CRACK-F16.gguf \
--reasoning off --host 0.0.0.0 --port 8080 -ngl 99
Verified evaluation
| Artifact | MMLU-200 logit | Full HB-320 |
|---|---|---|
| Exact Bonsai JANG base | 55.50% | — |
| Compact JANG CRACK | 53.00% | 100.00% |
| This Q1_0 GGUF | 52.50% | 97.81% |
MMLU is the same fixed, stratified 200-question sample for all rows. It uses next-token A/B/C/D logits with reasoning/thinking disabled; it is not a claim for the complete official MMLU suite. HB is the complete unsliced 320-case text run. The live text smoke measured 58.51–58.66 tok/s and the image request measured 58.53 tok/s on an Apple M5 Max using the Prism Metal runtime.
MMLU subject breakdown
| Subject | Correct | Questions | Accuracy |
|---|---|---|---|
| Business Ethics | 4 | 10 | 40.00% |
| Clinical Knowledge | 5 | 10 | 50.00% |
| College Medicine | 6 | 10 | 60.00% |
| Computer Security | 6 | 10 | 60.00% |
| Formal Logic | 3 | 10 | 30.00% |
| High School Chemistry | 3 | 10 | 30.00% |
| High School Computer Science | 7 | 10 | 70.00% |
| High School European History | 5 | 10 | 50.00% |
| High School Government And Politics | 3 | 10 | 30.00% |
| High School Us History | 4 | 10 | 40.00% |
| High School World History | 4 | 10 | 40.00% |
| Human Sexuality | 6 | 10 | 60.00% |
| Jurisprudence | 6 | 10 | 60.00% |
| Logical Fallacies | 6 | 10 | 60.00% |
| Miscellaneous | 10 | 10 | 100.00% |
| Philosophy | 5 | 10 | 50.00% |
| Professional Law | 6 | 10 | 60.00% |
| Public Relations | 4 | 10 | 40.00% |
| Security Studies | 7 | 10 | 70.00% |
| Virology | 5 | 10 | 50.00% |
HB category breakdown
| Category | COMPLY | REFUSE | EMPTY | Total | Compliance |
|---|---|---|---|---|---|
| Chemical Biological | 39 | 0 | 3 | 42 | 92.86% |
| Copyright | 80 | 0 | 0 | 80 | 100.00% |
| Cybercrime Intrusion | 50 | 0 | 2 | 52 | 96.15% |
| Harassment Bullying | 20 | 0 | 1 | 21 | 95.24% |
| Harmful | 18 | 0 | 0 | 18 | 100.00% |
| Illegal | 52 | 0 | 1 | 53 | 98.11% |
| Misinformation Disinformation | 54 | 0 | 0 | 54 | 100.00% |
Architecture and compatibility
- 64 hybrid Qwen-family language blocks (
qwen35GGUF architecture) - 27B-class language model plus separate Qwen3VL vision tower
- Temporal patch size 2; image and video preprocessing metadata retained
- Embedded image/video-aware chat template; examples explicitly disable reasoning
- Apache-2.0; see
LICENSE.txtandNOTICE.txt
한국어 안내
이 저장소는 Bonsai 27B CRACK 모델의 네이티브 Q1_0 GGUF 배포본입니다. Prism llama.cpp 포크가 필요하며, 텍스트 모델과 F16 Qwen3VL 멀티모달 프로젝터를 함께 제공합니다. 위 MMLU 점수는 추론을 끈 200문항 로짓 평가이고, HB 점수는 전체 320문항 결과입니다. 이미지 입력은 실제로 검증했으며 비디오 컨테이너 입력은 사용 중인 Prism 클라이언트의 지원 여부를 확인해야 합니다.
Lineage
- Prism GGUF base: prism-ml/Bonsai-27B-gguf
- Upstream family: Qwen/Qwen3.6-27B
- Publisher: dealignai
