⌦abliteratedmodels.org

Swift-1.5-Qwen3.8-27B-Uncensored

Swift-1.5-Qwen3.8-27B-Uncensored is a abliterated and uncensored variant of ukisai/Swift-1.5-Qwen3.8-27b, published on Hugging Face by ajgazin. It is 27B parameters, 48GB VRAM class class and other licence. It is distributed across 13 repositories in GGUF, GGUF (imatrix), EXL3 and Transformers formats, totalling 26.7K downloads.

Abliteration + uncensored fine-tune27BQwen25B – 50B↓ 26,741♥ 7

Specification

Model name
Swift-1.5-Qwen3.8-27B-Uncensored
Publisher
ajgazin
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
Image text to text
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, GGUF (imatrix), EXL3, Transformers, NVFP4, Full precision, FP8
First indexed
25 Sept 2026
Last updated
25 Oct 2026

Ablation technique

How Swift-1.5-Qwen3.8-27B-Uncensored 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

“reasoning-efficient fine-tune of Qwen3.8-27B. It applies the single-direction refusal ablation of orcarouter/Qwen3.8-27B-Uncensored (Arditi et al. 2024), with orcarouter's own direction, to Swift 1.5's weights. The vision tower is untouched and the MTP head is kept and edited consistently, so self-speculative decoding...”

Running it

Commands are templates — confirm the exact repository and quant file before use.

llama.cpp / GGUF
hf download mradermacher/Swift-1.5-Qwen3.8-27B-Uncensored-MTP-GGUF --local-dir ./swift-1.5-qwen3.8-27b-uncensored
llama-cli -m ./swift-1.5-qwen3.8-27b-uncensored/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-MTP"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-MTP --trust-remote-code

Downloads and variants (12)

Every published repository of Swift-1.5-Qwen3.8-27B-Uncensored, including quantised re-releases by other authors.

Security-team assessment

Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.

  • Swift-1.5-Qwen3.8-27B-Uncensored 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 ukisai/Swift-1.5-Qwen3.8-27b, 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 ukisai/Swift-1.5-Qwen3.8-27b’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-1.5-Qwen3.8-27B-Uncensored is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with ajgazin, and does not independently verify publisher claims. See responsible use.