Qwen3.8-27B-swift-abliterated-nvfp4full-dflash2-NInfer-v3
27BQwen
from d0xin/Swift-Qwen3.8-27B-Uncensored-BF16
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Swift-Qwen3.8-27B-Uncensored-ninfer3090
Swift-Qwen3.8-27B-Uncensored-ninfer3090 is a abliterated and uncensored variant of d0xin/Swift-Qwen3.8-27B-Uncensored-BF16, published on Hugging Face by wacomctl672. It is 27B parameters, 48GB VRAM class class and other licence. It is distributed across 2 repositories in Transformers format, totalling 7.6K downloads.
Specification
- Model name
- Swift-Qwen3.8-27B-Uncensored-ninfer3090
- Source repository
- wacomctl672/Swift-Qwen3.8-27B-Uncensored-ninfer3090
- Base model
- d0xin/Swift-Qwen3.8-27B-Uncensored-BF16
- Publisher
- wacomctl672
- 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
- other
- Task
- Unspecified
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- Transformers
- First indexed
- 16 Sept 2026
- Last updated
- 15 Oct 2026
Ablation technique
How Swift-Qwen3.8-27B-Uncensored-ninfer3090 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
“This is a converted artifact/quantization for ninfer-3090 based on the abliterated checkpoint by d0xin.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "wacomctl672/Swift-Qwen3.8-27B-Uncensored-ninfer3090"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve wacomctl672/Swift-Qwen3.8-27B-Uncensored-ninfer3090 --trust-remote-codeDownloads and variants (1)
The only published repository of Swift-Qwen3.8-27B-Uncensored-ninfer3090.
| Repository | Format | Downloads |
|---|---|---|
| wacomctl672/Swift-Qwen3.8-27B-Uncensored-ninfer3090source | Transformers | 7.6K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Swift-Qwen3.8-27B-Uncensored-ninfer3090 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 d0xin/Swift-Qwen3.8-27B-Uncensored-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.
- 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 other, but the terms that bind you are d0xin/Swift-Qwen3.8-27B-Uncensored-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 Swift-Qwen3.8-27B-Uncensored-ninfer3090 is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with wacomctl672, and does not independently verify publisher claims. See responsible use.