dealignai/Bonsai-2-27B-1bit-CRACK-GGUF
text-generation model by dealignai
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Abliterated · No guardrails · PTQ10 dense-ternary 1.75 bpw · 5.9 GB · Runs on a laptop / single GPU · Vision-capable @dealignai Bonsai 2 27B — PrismML's ternary compression of Qwen3.8-27B — with the refusal circuitry surgically removed at the weight level while capability, vision, reasoning modes (off/low/xhigh), tool use, and multi-turn coherence are preserved. Full 27B-class hybrid Attention + SSM (GatedDeltaNet) architecture in a 5.9 GB 1bit GGUF. Proprietary weight-level abliteration by the dealignai research team. Byte-identical to the base ternary quant everywhere except a small set of tensors that carry the refusal circuit. Drop-in replacement for the ternary base at inference — same tokenizer, same chat template, same reasoning modes, same vision projector interface. Refusal graded on the tokens the model actually emits (content, or the reasoning trace when the model reasons past the token budget) via a tiered classifier: HARDREF / SOFTRED / HEDGE / REASONINGREFUSAL…
Read the full model card ↗ · Preview checked 2026-09-21T09:40:44.284Z
Inside the original model card — Document outline
- Bonsai 2 27B — 1bit CRACK · GGUF
- What is this
- Results
- HarmBench-320 — refuse rate (lower is better for uncensored eval), off mode, T=0
- Reasoning-mode compliance (n=60 base-confirmed refusers per mode)
- MMLU (n=2,280 = 40 questions × 57 subjects, next-token letter-logit)
- Additional direct refusal-removal check
- Serving
- Reasoning modes
- Preserved (byte-compatible with the base quant)
- Responsible use
- License & attribution
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
dealignai/Bonsai-2-27B-1bit-CRACK-GGUF is a text-generation model repository published by dealignai on Hugging Face. The source reports the llama.cpp library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- llama.cpp
- Recent downloads (30 days)
- 12,894
- Cumulative likes
- 61
- Hugging Face trending score
- 53
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-17T23:59:09.000Z
- Last modified
- 2026-09-18T07:50:53.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: prism-ml/Ternary-Bonsai-2-27B-gguf, Qwen/Qwen3.8-27B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:47.722Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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