Qwen3.8-27B-Uncensored
from Qwen/Qwen3.8-27B
Qwen3.8-27B is a abliterated and uncensored variant of Qwen/Qwen3.8-27B, published on Hugging Face by shawnw3i. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 3 repositories in AWQ and GPTQ formats, totalling 138.6K downloads.
How Qwen3.8-27B 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
“09-27-2026 Because Qwen3.8 utilizes non-traditional attention, the group size was reduced to 64 to prevent precision collapse.”
Commands are templates — confirm the exact repository and quant file before use.
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "shawnw3i/Qwen3.8-27B-AWQ-MTP"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vllm serve shawnw3i/Qwen3.8-27B-AWQ-MTP --trust-remote-codeEvery published repository of Qwen3.8-27B, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| shawnw3i/Qwen3.8-27B-AWQ-MTPsource | AWQ | 123.3K |
| shawnw3i/Qwen3.8-27B-GPTQ-INT8-MTP | GPTQ | 15.3K |
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
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 is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with shawnw3i, and does not independently verify publisher claims. See responsible use.