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Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX

Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX is a abliterated and uncensored variant of AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16, published on Hugging Face by vmlinux. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 6.2K downloads.

Abliteration + uncensored fine-tune27BQwen25B – 50B↓ 6,183♥ 3
View on Hugging Face ↗Base model ↗

Specification

Model name
Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX
Source repository
vmlinux/Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX-GGUF
Base model
AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16
Publisher
vmlinux
Parameters
27B
Hardware class
25B – 50B — 48GB VRAM class
Licence
apache-2.0
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
17 Aug 2026
Last updated
17 Aug 2026

Ablation technique

How Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX 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

“The source weights are Aeon's Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16, pinned at Hub revision 8f76e82ed7ef4de7735f5d4148fce7b643b00fae. Aeon deserves attribution for the BF16 model and its model work. This repository contains derived GGUF quantizations produced by vmlinux with the ROCmFPX toolchain; it is not a new...”

Running it

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

llama.cpp / GGUF
hf download vmlinux/Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX-GGUF --local-dir ./qwen3.8-27b-aeon-ultimate-rocmfpx
llama-cli -m ./qwen3.8-27b-aeon-ultimate-rocmfpx/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "vmlinux/Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve vmlinux/Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX-GGUF --trust-remote-code

Downloads and variants (1)

The only published repository of Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX.

RepositoryFormatDownloads
vmlinux/Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX-GGUFsourceGGUF6.2K

Security-team assessment

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

  • Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX 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 AEON-7/Qwen3.8-27B-AEON-ULTIMATE-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 apache-2.0, but the terms that bind you are AEON-7/Qwen3.8-27B-AEON-ULTIMATE-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 Qwen3.8-27B-AEON-ULTIMATE-ROCmFPX is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with vmlinux, and does not independently verify publisher claims. See responsible use.