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Qwen3.8-27B-Abliterated-MTPLX
Qwen3.8-27B-Abliterated-MTPLX is a refusal-ablated variant of Blackfrost-AI/Qwen3.8-27B-ABLITERATED-BF16, published on Hugging Face by grant-ai. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 5 repositories in MLX format, totalling 8.1K downloads.
Specification
- Model name
- Qwen3.8-27B-Abliterated-MTPLX
- Source repository
- grant-ai/Qwen3.8-27B-Abliterated-MTPLX-4bit
- Publisher
- grant-ai
- Parameters
- 27B
- Hardware class
- 25B – 50B — 48GB VRAM class
- Licence
- apache-2.0
- Task
- Image text to text
- Context window
- 32K tokens (as documented)
- Ablation scope
- Not stated by the publisher
- Formats available
- MLX
- First indexed
- 15 Aug 2026
- Last updated
- 24 Aug 2026
Ablation technique
How Qwen3.8-27B-Abliterated-MTPLX 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: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.
From the publisher’s model card
“A high quality abliterated Qwen3.8-27B optimized for long context with thinking. Built to run as fast as possible on Apple Silicon using MTPLX.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "grant-ai/Qwen3.8-27B-Abliterated-MTPLX-4bit"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve grant-ai/Qwen3.8-27B-Abliterated-MTPLX-4bit --trust-remote-codeDownloads and variants (4)
Every published repository of Qwen3.8-27B-Abliterated-MTPLX, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| grant-ai/Qwen3.8-27B-Abliterated-MTPLX-4bitsource | MLX | 3.6K |
| grant-ai/Qwen3.8-27B-Abliterated-MTPLX | MLX | 3.2K |
| grant-ai/Qwen3.8-27B-Abliterated-MTPLX-6bit | MLX | 895 |
| mvid/Huihui-Qwen3.8-27B-abliterated-MTPLX-Q8 | MLX | 428 |
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-MTPLX 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 Blackfrost-AI/Qwen3.8-27B-ABLITERATED-BF16, 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.
- Declared licence is apache-2.0, but the terms that bind you are Blackfrost-AI/Qwen3.8-27B-ABLITERATED-BF16’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-MTPLX is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with grant-ai, and does not independently verify publisher claims. See responsible use.