Ternary-Bonsai-27B-Abliterated
27BOther
from prism-ml/Ternary-Bonsai-27B-gguf
↓ 11.3K♥ 30
Bonsai-27b-Ternary-CRACK
Bonsai-27b-Ternary-CRACK is a abliterated and uncensored variant of prism-ml/Ternary-Bonsai-27B-gguf, published on Hugging Face by dealignai. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 11.6K downloads.
Specification
- Model name
- Bonsai-27b-Ternary-CRACK
- Source repository
- dealignai/Bonsai-27b-Ternary-CRACK-GGUF
- Base model
- prism-ml/Ternary-Bonsai-27B-gguf
- Publisher
- dealignai
- Parameters
- 27B
- Hardware class
- 25B – 50B — 48GB VRAM class
- Licence
- apache-2.0
- Task
- Image text to text
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF
- First indexed
- 15 Jul 2026
- Last updated
- 15 Jul 2026
Ablation technique
How Bonsai-27b-Ternary-CRACK was modified, and what that implies.
Abliteration + uncensored fine-tune
Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.
Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.
From the publisher’s model card
“Native Q20 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.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download dealignai/Bonsai-27b-Ternary-CRACK-GGUF --local-dir ./bonsai-27b-ternary-crack
llama-cli -m ./bonsai-27b-ternary-crack/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "dealignai/Bonsai-27b-Ternary-CRACK-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve dealignai/Bonsai-27b-Ternary-CRACK-GGUF --trust-remote-codeDownloads and variants (1)
The only published repository of Bonsai-27b-Ternary-CRACK.
| Repository | Format | Downloads |
|---|---|---|
| dealignai/Bonsai-27b-Ternary-CRACK-GGUFsource | GGUF | 11.6K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Bonsai-27b-Ternary-CRACK will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
- Capability is inherited from prism-ml/Ternary-Bonsai-27B-gguf, not added by ablation — at 27B parameters, expect roughly the base model’s competence, minus some instruction-following fidelity.
- The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
- This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
- Declared licence is apache-2.0, but the terms that bind you are prism-ml/Ternary-Bonsai-27B-gguf’s — a re-release cannot grant more than its parent.
Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.
Metadata for Bonsai-27b-Ternary-CRACK is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with dealignai, and does not independently verify publisher claims. See responsible use.