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bidhata/Qwen3.8-Flash-Next-AutoRound-Uncensored

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Response includes
  • classification m-uncensored
  • files 82
  • hub_downloads_all_time 146
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · lifetime
146
Likes
1
Model age
6w ago
created 2026-09-07
Downloads over time
Now425→from0↑0%
01563124680 on Sep 7425 on Oct 23SepOct
Sep 7 → Oct 23 · 47 snapshots · spans 46 days

Metadata

Tags
safetensors qwen4_exp 4-bit gptq region:us
Total size
70.1 GB
Files
82
Quantizations
1
Registered
2026-09-07 20:55
Last updated on HF
2026-09-07 20:02

Files by quantization

Auxiliary files 82 files 70.1 GB
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README current version from Hugging Face

Qwen3.8-Flash-Next AutoRound Hybrid — Uncensored

Abliterated (refusal-removed) build of
Saren/Qwen3.8-Flash-Next-W4A16-AutoRound-hybrid
— Qwen3.8-Flash-Next (125B MoE + 51B n-gram table, 6B active) quantized as
int4 MoE (W4A16 AutoRound/GPTQ-Marlin g128) + int8 lm_head + blockwise-fp8
side layers. Same weights format, same serving stack, refusals removed.

Method

No fine-tuning, no requantization pipeline. Weight-level edit only:

  1. Recovered the refusal direction from
    orcarouter/Qwen3.8-Flash-Next-Uncensored: a stock-vs-abliterated shard
    diff is cleanly rank-1 (≈100:1) with the identical vector (cos = 1.0000)
    across attention o_proj, GDN out_proj, and shared-expert down_proj, while
    gates/inputs/embeddings are untouched.
  2. Applied W − r(rᵀW) to all 25,185 residual-writing matrices in-quant:
    96 fp8 (12 QSA o_proj + 36 GDN out_proj + 48 shared-expert down_proj,
    blockwise-e4m3 requant), 24,576 int4 MoE-expert down_proj (fresh
    per-column symmetric scales — fixed scales would round a 2% edit back to
    ~zero on 4-bit levels), 513 bf16 MTP draft-layer tensors. Zero skips.
  3. PLE n-gram table unchanged — reuse
    Saren/Qwen3.8-Flash-Next-ple-table-fp8
    via mmap.

Measured (1× DGX Spark, vLLM + MTP=3, same config as stock hybrid)

  • 5/5 refusal probes comply (no refusal phrases), coherent completions
  • Capability intact: codegen w/ tests, long-form essay, math reasoning
  • Decode ~32 tok/s, TTFT ~230 ms — no regression vs stock hybrid

Serve it

git clone <installer-repo> && cd <installer-repo>
docker build -t qwen38-flash-dgx <saren-recipe>  # serving image w/ patches
MODEL_ID=bidhata/Qwen3.8-Flash-Next-AutoRound-Uncensored ./serve.sh

Needs the PLE table dir alongside (TABLE_ID=Saren/Qwen3.8-Flash-Next-ple-table-fp8,
auto-downloaded by serve.sh), ~130 GB disk, 128 GB unified memory.

Credits / license

  • Weights: Qwen team (Qwen3.8-Flash-Next) → Intel (W4A16 AutoRound) →
    Saren-Arterius (hybrid) → refusal-direction transfer from orcarouter's
    abliteration.
  • Carries the Qwen community license — review before production use.
  • Uncensored research artifact. You are solely responsible for what you
    generate and for complying with applicable law.

Original build notes: see README.build.md.

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-09-07Upload folder using huggingface_hub0aa31122.4 KB
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