license: other
license_name: qwen-community-license-1.0
license_link: LICENSE
base_model: Qwen/Qwen3.8-Flash-Next
pipeline_tag: image-text-to-text
library_name: vllm
tags:
- uncensored
- abliterated
- fp8
- qwen
- vllm
- multimodal
- reasoning
- mtp
Qwen3.8-Flash-Next — ABLITERATED (FP8)
Abliterated (refusal-removed) build of Qwen/Qwen3.8-Flash-Next in official FP8.
Reasoning (low / medium / xhigh), MTP speculative decoding, and full multimodality (image + video) preserved.
by dealignai
No fine-tuning. No prompt tricks. This is a direct weight-level modification — not a fine-tune (no training, no LoRA, no distillation, no synthetic data) and not a chat-template / jailbreak / system-prompt trick. The behavior change lives in the weights themselves, so it works with the standard chat template and default system prompt — nothing special is required at inference time. Knowledge, style, reasoning, and calibration are otherwise unchanged.
Compliance — HarmBench-320 (real-harm behaviors, greedy decoding, temp = 0)
All numbers are greedy (temperature = 0) — the strict, reproducible setting — over the 240 genuinely-harmful behaviors (copyright-reproduction items excluded).
| Decoding | Reasoning | Real-harm compliance |
|---|---|---|
| greedy | low | 100 % |
| greedy | xhigh | 99.6 % |
| greedy | off | 97.1 % |
With reasoning on (low / xhigh) it is essentially complete (≈ 100 %). The small residual appears only with both reasoning off and greedy (the hardest possible setting) — and even that is 97 %. Turn on reasoning or use any non-zero temperature and it complies.
Per-category (real-harm compliance, greedy)
| Category | reasoning off | reasoning low | reasoning xhigh |
|---|---|---|---|
| chemical / biological | 100 % | 100 % | 100 % |
| cybercrime / intrusion | 100 % | 100 % | 100 % |
| illegal | 98 % | 100 % | 100 % |
| misinformation | 98 % | 100 % | 98 % |
| harmful | 94 % | 100 % | 100 % |
| harassment / bullying | 81 % | 100 % | 100 % |
Every category reaches 100 % with reasoning on. The only dip is harassment under reasoning-off.
Capability retained — MMLU (identical harness, base vs this model · 40 Q/subject · 2 280 Q)
Overall: 86.36 % → 83.86 % (-2.50 pp) — capability preserved (within 3 pp of base).
Per-subject breakdown — all 57 MMLU subjects
| Subject | Base | This model | Δ |
|---|---|---|---|
| abstract algebra | 72% | 57% | -15 |
| anatomy | 88% | 80% | -7 |
| astronomy | 98% | 98% | +0 |
| business ethics | 82% | 82% | +0 |
| clinical knowledge | 98% | 90% | -7 |
| college biology | 100% | 100% | +0 |
| college chemistry | 60% | 55% | -5 |
| college computer science | 85% | 80% | -5 |
| college mathematics | 72% | 65% | -7 |
| college medicine | 88% | 85% | -3 |
| college physics | 72% | 70% | -3 |
| computer security | 88% | 90% | +3 |
| conceptual physics | 92% | 92% | +0 |
| econometrics | 82% | 82% | +0 |
| electrical engineering | 85% | 80% | -5 |
| elementary mathematics | 92% | 90% | -3 |
| formal logic | 70% | 70% | +0 |
| global facts | 57% | 60% | +3 |
| high school biology | 95% | 95% | +0 |
| high school chemistry | 88% | 92% | +5 |
| high school computer science | 90% | 90% | +0 |
| high school european history | 88% | 90% | +3 |
| high school geography | 95% | 98% | +3 |
| high school government and politics | 98% | 98% | +0 |
| high school macroeconomics | 92% | 90% | -3 |
| high school mathematics | 52% | 55% | +3 |
| high school microeconomics | 100% | 98% | -3 |
| high school physics | 90% | 88% | -3 |
| high school psychology | 98% | 95% | -3 |
| high school statistics | 88% | 85% | -3 |
| high school us history | 95% | 95% | +0 |
| high school world history | 95% | 95% | +0 |
| human aging | 85% | 82% | -3 |
| human sexuality | 92% | 90% | -3 |
| international law | 88% | 82% | -5 |
| jurisprudence | 98% | 95% | -3 |
| logical fallacies | 95% | 90% | -5 |
| machine learning | 80% | 72% | -8 |
| management | 98% | 98% | +0 |
| marketing | 92% | 90% | -3 |
| medical genetics | 95% | 95% | +0 |
| miscellaneous | 95% | 90% | -5 |
| moral disputes | 78% | 75% | -3 |
| moral scenarios | 80% | 70% | -10 |
| nutrition | 92% | 88% | -5 |
| philosophy | 80% | 82% | +2 |
| prehistory | 98% | 95% | -3 |
| professional accounting | 78% | 68% | -10 |
| professional law | 72% | 65% | -7 |
| professional medicine | 98% | 98% | +0 |
| professional psychology | 82% | 75% | -7 |
| public relations | 80% | 75% | -5 |
| security studies | 90% | 90% | +0 |
| sociology | 92% | 88% | -5 |
| us foreign policy | 95% | 95% | +0 |
| virology | 52% | 48% | -5 |
| world religions | 92% | 95% | +2 |
| Overall | 86.36 % | 83.86 % | -2.50 |
Also confirmed
MTP speculative decoding (vLLM qwen3_8_flash_next_mtp) |
preserved — ~81 % draft acceptance (≈ 1.8× draft efficiency) |
| Multimodal | image + video both working |
| Coherence | no looping across code, math, reasoning, long-form (greedy) |
| Generation config | temperature 1.0, top_p 0.95, top_k 20 (stamped) |
Usage (vLLM)
from vllm import LLM, SamplingParams
llm = LLM(model="dealignai/Qwen3.8-Flash-Next-ABLITERATED-FP8",
tensor_parallel_size=2, trust_remote_code=True)
# reasoning via chat_template_kwargs: {"enable_thinking": True, "reasoning_effort": "xhigh"} # low | medium | xhigh
- PLE n-gram table is CPU-offloaded at runtime: set
VLLM_PLE_CPU_OFFLOAD=1. - MTP speculative decoding:
speculative_config={"method": "qwen3_8_flash_next_mtp", "num_speculative_tokens": 1}. - FP8 — serves on vLLM (Hopper / Blackwell; runs on 2× DGX Spark).
Disclaimer
This is an uncensored research artifact with safety refusals removed. You are solely responsible for what you generate and for complying with all applicable laws. Provided as-is, without warranty. Governed by the Qwen Community License 1.0 (see LICENSE).