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Qwen3.8-27B-Uncensored-ninfer5080-5070ti

Qwen3.8-27B-Uncensored-ninfer5080-5070ti is a abliterated and uncensored open-weight language model, published on Hugging Face by YukinoKaorisuna. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in Transformers format, totalling 5.6K downloads.

Abliteration + uncensored fine-tune27BQwen25B – 50B↓ 5,636♥ 6

Specification

Model name
Qwen3.8-27B-Uncensored-ninfer5080-5070ti
Base model
Not declared
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
Text generation
Context window
8K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
Transformers
First indexed
25 Sept 2026
Last updated
27 Sept 2026

Ablation technique

How Qwen3.8-27B-Uncensored-ninfer5080-5070ti 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

“Qwen3.8-27B 的社区破限版,量化配方 groupwise-int-5080(Q3/Q4/Q5 混合,15.33 GB),适配 16GB 显存的 RTX 5070 Ti / 5080。”

Running it

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

Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "YukinoKaorisuna/Qwen3.8-27B-Uncensored-ninfer5080-5070ti"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve YukinoKaorisuna/Qwen3.8-27B-Uncensored-ninfer5080-5070ti --trust-remote-code

Downloads and variants (1)

The only published repository of Qwen3.8-27B-Uncensored-ninfer5080-5070ti.

RepositoryFormatDownloads
YukinoKaorisuna/Qwen3.8-27B-Uncensored-ninfer5080-5070tisourceTransformers5.6K

Security-team assessment

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

  • Qwen3.8-27B-Uncensored-ninfer5080-5070ti 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 its base model, 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.

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-Uncensored-ninfer5080-5070ti is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with YukinoKaorisuna, and does not independently verify publisher claims. See responsible use.