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Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata

Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata is a refusal-ablated variant of ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF, published on Hugging Face by alesha-pro. It is other licence. It is distributed across 4 repositories in GGUF format, totalling 402.5K downloads.

Abliteration (directional ablation)Qwen↓ 402,520♥ 221
View on Hugging Face ↗Base model ↗

Specification

Model name
Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata
Source repository
alesha-pro/Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata-GGUF
Base model
ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Publisher
alesha-pro
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
Hardware class
Unknown
Licence
other
Task
Image text to text
Context window
131K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
4 Oct 2026
Last updated
31 Oct 2026

Ablation technique

How Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata 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

“The model weights in this repo are not mine. They are the four GSQ-RCO quantizations of Qwen3.8-Flash-Next (Q20, IQ2XS, IQ3XXS, IQ3S) made by the Deep Algorithms and Systems Lab at ISTA, copied byte for byte from ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF at revision ed59f92082b1e93c0e96d60a8b11aab089b52f09. The...”

Running it

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

llama.cpp / GGUF
hf download alesha-pro/Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata-GGUF --local-dir ./qwen3.8-flash-next-abliterated-gsq-rco-strata
llama-cli -m ./qwen3.8-flash-next-abliterated-gsq-rco-strata/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "alesha-pro/Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve alesha-pro/Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata-GGUF --trust-remote-code

Downloads and variants (3)

Every published repository of Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata, including quantised re-releases by other authors.

RepositoryFormatDownloads
alesha-pro/Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata-GGUFsourceGGUF400.1K
IloveAi333/Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata-GGUFGGUF1.3K
QWER123951/Qwen3.8-Flash-Next-abliterated-GSQ-RCO-Strata-GGUFGGUF1.1K

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-abliterated-GSQ-RCO-Strata 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.
  • Declared licence is other, but the terms that bind you are ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF’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-Flash-Next-abliterated-GSQ-RCO-Strata is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with alesha-pro, and does not independently verify publisher claims. See responsible use.