Qwen3.8-27B-Abliterated-Swift-1.5-GSQ-RCO-NInfer
27BQwen
from huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF
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Qwen3.8-27B-Abliterated-Ternary-Bonsai-2-NInfer
Qwen3.8-27B-Abliterated-Ternary-Bonsai-2-NInfer is a refusal-ablated variant of huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF, published on Hugging Face by fyb1214. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. The publisher states that layers 22–52 were ablated, leaving the remaining layers unmodified. It is distributed across 2 repositories in Transformers format, totalling 8.8K downloads.
Specification
- Model name
- Qwen3.8-27B-Abliterated-Ternary-Bonsai-2-NInfer
- Source repository
- fyb1214/Huihui-Qwen3.8-27B-Abliterated-Ternary-Bonsai-2-NInfer
- Publisher
- fyb1214
- Parameters
- 27B
- VRAM required
- ~17.2 GB at Q4_K_M, 4k context (estimated) — runs on 24 GB cards
- Hardware class
- 25B – 50B — 48GB VRAM class
- Licence
- apache-2.0
- Task
- Image text to text
- Context window
- Not documented
- Ablation scope
- Layers 22–52
- Formats available
- Transformers
- First indexed
- 4 Oct 2026
- Last updated
- 5 Oct 2026
Ablation technique
How Qwen3.8-27B-Abliterated-Ternary-Bonsai-2-NInfer was modified, and what that implies.
Abliteration (directional ablation)
The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.
Reported scope: Layers 22–52. This comes from the publisher’s own model card and has not been independently verified.
From the publisher’s model card
“The abliteration is not ours. huihui-ai ablated layers 22–52 (0-based) of the PrismML Ternary-Bonsai-2-27B weights; this repository only repackages them. See Attribution and the usage warnings carried over below.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "fyb1214/Huihui-Qwen3.8-27B-Abliterated-Ternary-Bonsai-2-NInfer"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve fyb1214/Huihui-Qwen3.8-27B-Abliterated-Ternary-Bonsai-2-NInfer --trust-remote-codeDownloads and variants (1)
The only published repository of Qwen3.8-27B-Abliterated-Ternary-Bonsai-2-NInfer.
| Repository | Format | Downloads |
|---|---|---|
| fyb1214/Huihui-Qwen3.8-27B-Abliterated-Ternary-Bonsai-2-NInfersource | Transformers | 8.8K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Qwen3.8-27B-Abliterated-Ternary-Bonsai-2-NInfer 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 huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF, not added by ablation — at 27B parameters, expect roughly the base model’s competence, minus some instruction-following fidelity.
- Ablation is reported as limited to layers 22–52, so untouched layers may still reassert refusal on some phrasings.
- Declared licence is apache-2.0, but the terms that bind you are huihui-ai/Huihui-Qwen3.8-27B-abliterated-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 Qwen3.8-27B-Abliterated-Ternary-Bonsai-2-NInfer is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with fyb1214, and does not independently verify publisher claims. See responsible use.