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Qwen3.8-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder

Qwen3.8-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder is a refusal-ablated variant of ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF, published on Hugging Face by Abiray. It is distributed across 2 repositories in GGUF format, totalling 16.6K downloads.

Abliteration (directional ablation)Qwen↓ 16,644♥ 15
View on Hugging Face ↗Base model ↗

Specification

Model name
Qwen3.8-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder
Source repository
Abiray/Qwen3.8-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder-GGUF
Base model
ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF
Publisher
Abiray
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
Hardware class
Unknown
Licence
Not declared
Task
Image text to text
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
23 Oct 2026
Last updated
23 Oct 2026

Ablation technique

How Qwen3.8-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder 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

“A standalone, weight-baked uncensored & abliterated GGUF of ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF. This build is created by precisely transplanting 144 orthogonalized residual-writing tensors from orcarouter/Qwen3.8-Flash-Next-Uncensored (via SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF) directly into...”

Running it

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

llama.cpp / GGUF
hf download Abiray/Qwen3.8-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder-GGUF --local-dir ./qwen3.8-flash-next-orca-abliterated-gsq-rco-coder
llama-cli -m ./qwen3.8-flash-next-orca-abliterated-gsq-rco-coder/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "Abiray/Qwen3.8-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve Abiray/Qwen3.8-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder-GGUF --trust-remote-code

Downloads and variants (1)

The only published repository of Qwen3.8-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder.

RepositoryFormatDownloads
Abiray/Qwen3.8-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder-GGUFsourceGGUF16.6K

Security-team assessment

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

  • Qwen3.8-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder 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.
  • The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
  • No licence is declared on this repository, which is a compliance problem in itself. Resolve it against the base model’s terms before use.

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-Flash-Next-Orca-Abliterated-GSQ-RCO-Coder is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with Abiray, and does not independently verify publisher claims. See responsible use.