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Qwen3.8-Flash-Next-GSQ-RCO-uncensored-q8g

Qwen3.8-Flash-Next-GSQ-RCO-uncensored-q8g is a abliterated and uncensored variant of ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF, published on Hugging Face by rSalone. It is other licence. It is distributed across 2 repositories in GGUF format, totalling 11.3K downloads.

Abliteration + uncensored fine-tuneQwen↓ 11,312♥ 9
View on Hugging Face ↗Base model ↗

Specification

Model name
Qwen3.8-Flash-Next-GSQ-RCO-uncensored-q8g
Source repository
rSalone/Qwen3.8-Flash-Next-GSQ-RCO-uncensored-q8g-GGUF
Base model
ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Publisher
rSalone
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
Hardware class
Unknown
Licence
other
Task
Unspecified
Context window
256K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
11 Oct 2026
Last updated
14 Oct 2026

Ablation technique

How Qwen3.8-Flash-Next-GSQ-RCO-uncensored-q8g 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

“We present q8g, an uncensored version of ISTA-DASLab's GSQ-RCO IQ3S of Qwen3.8-Flash-Next, made by editing the quantized file directly on one RTX 5090. On HarmBench, q8g complied with 194 of 240 prompts, against 6 for the original. The KL divergence of its next-token probabilities from the original's was 0.038, lower...”

Running it

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

llama.cpp / GGUF
hf download rSalone/Qwen3.8-Flash-Next-GSQ-RCO-uncensored-q8g-GGUF --local-dir ./qwen3.8-flash-next-gsq-rco-uncensored-q8g
llama-cli -m ./qwen3.8-flash-next-gsq-rco-uncensored-q8g/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "rSalone/Qwen3.8-Flash-Next-GSQ-RCO-uncensored-q8g-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve rSalone/Qwen3.8-Flash-Next-GSQ-RCO-uncensored-q8g-GGUF --trust-remote-code

Downloads and variants (1)

The only published repository of Qwen3.8-Flash-Next-GSQ-RCO-uncensored-q8g.

RepositoryFormatDownloads
rSalone/Qwen3.8-Flash-Next-GSQ-RCO-uncensored-q8g-GGUFsourceGGUF11.3K

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-GSQ-RCO-uncensored-q8g 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.
  • 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 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-GSQ-RCO-uncensored-q8g is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with rSalone, and does not independently verify publisher claims. See responsible use.