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Qwen3.8-27B-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3

Qwen3.8-27B-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3 is a refusal-ablated variant of huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated, published on Hugging Face by IsValorum. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 10.3K downloads.

Abliteration (directional ablation)27BQwen25B – 50B↓ 10,311♥ 6
View on Hugging Face ↗Base model ↗

Specification

Model name
Qwen3.8-27B-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3
Source repository
IsValorum/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3-GGUF
Base model
huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated
Publisher
IsValorum
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
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
14 Oct 2026
Last updated
16 Oct 2026

Ablation technique

How Qwen3.8-27B-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3 was modified, and what that implies.

Abliteration (directional ablation)

The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.

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

“Independently computed using dedicated cloud compute clusters, funded 100% out-of-pocket.”

Running it

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

llama.cpp / GGUF
hf download IsValorum/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3-GGUF --local-dir ./qwen3.8-27b-coder390-efficientthink-abliterated-val-apex-i-miniplus-v3
llama-cli -m ./qwen3.8-27b-coder390-efficientthink-abliterated-val-apex-i-miniplus-v3/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "IsValorum/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve IsValorum/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3-GGUF --trust-remote-code

Downloads and variants (1)

The only published repository of Qwen3.8-27B-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3.

RepositoryFormatDownloads
IsValorum/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3-GGUFsourceGGUF10.3K

Security-team assessment

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

  • Qwen3.8-27B-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3 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 huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated, 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.
  • Declared licence is apache-2.0, but the terms that bind you are huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated’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-Coder390-EfficientThink-abliterated-VAL-APEX-I-MiniPlus-V3 is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with IsValorum, and does not independently verify publisher claims. See responsible use.