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msuiche/DeepSeek-V4.1-Flash-1017-abliterated-cyber-GLP-27-L11-37-a3.5

msuiche Deepseek GGUF
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Response includes
  • classification m8
  • files 4
  • author_summary 28 models
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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? →
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Model age
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created 2026-10-29

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Metadata

License
mit
Languages
en
Tags
gguf deepseek deepseek_v41 weightless control-vector abliterated uncensored refusal-ablation activation-steering representation-engineering vllm en

Related

Total size
1.30 MB
Files
4
Quantizations
1
Registered
2026-10-29 19:01
Last updated on HF
2026-10-29 18:11

Files by quantization

Auxiliary files 4 files 1.31 MB
dsv41-perlayer-dirs-ffn.pt 791 KB ******** download
glp.deepseek-v41-flash-1017-GLP-27-L11-37-a3.5.gguf 544 KB ******** download
README.md 4.87 KB a799c423 download
.gitattributes 1.57 KB 530c3e44 download

README current version from Hugging Face


license: mit
language:

  • en
    base_model: deepseek-ai/DeepSeek-V4.1-Flash-1017
    base_model_revision: 1bae0e1088993b9b82de08f59de5be5a34e42170
    tags:
  • deepseek
  • deepseek_v41
  • weightless
  • control-vector
  • abliterated
  • uncensored
  • refusal-ablation
  • activation-steering
  • representation-engineering
  • gguf
  • vllm
    extra_gated_prompt: |

Responsible Use Agreement

This is not a model. It is a 544 KB control vector that removes safety refusals
from deepseek-ai/DeepSeek-V4.1-Flash-1017 at inference time. It is useful for
red-teaming, offensive-security research, refusal-rate evaluation, and measuring
what a model will do without its refusal behaviour — and it removes guardrails
that you must then supply yourself.

You must agree before access is granted:

  • You are 18 or older.
  • You will not use this for anything involving the sexual exploitation or
    endangerment of minors.
  • You will not use this to generate content promoting self-harm or suicide.
  • You will not use this to produce material that is illegal in your
    jurisdiction, or that targets real individuals for harassment, doxxing or
    fraud.
  • You accept that any output you elicit is the result of your own input and
    your own responsibility.
    extra_gated_fields:
    I have read and agree to the Responsible Use Agreement: checkbox

DeepSeek-V4.1-Flash-1017-abliterated-cyber-GLP-27-L11-37-a3.5

Projective control vector ("GLP") for deepseek-ai/DeepSeek-V4.1-Flash-1017
(deepseek_v41: 40 layers, hidden 5120, 384 routed experts + 1 shared,
MLA with KV compression, hc_mult=4 hyper-connections, engram layers,
built-in DSpark drafter, 510 GB FP8+MXFP4 checkpoint). This is the first
GLP spec_version 3 artifact: the directions are weight-SVD rows from the
FFN writers, applied at the hc fold site — post-fold, pre-Engram, mean
over the 4 hyper-connection copies, with the attention o_proj writer armed
on the same stack — layers 11–37, alpha 3.5 baked in. No weights are
modified; this is the difference, not the model.

Confirmed base: deepseek-ai/DeepSeek-V4.1-Flash-1017 (revision
1bae0e1088993b9b82de08f59de5be5a34e42170). The directions were derived from
that checkpoint's FFN writer weights and calibrated on the vLLM offline lane
(the dsv41-feat wheel from vllm-project/vllm PR #56201, build sha
79a7108d9aea27ddab99ce1779290d300b17fc23); not validated against other
revisions or quants.

Reader requirement: glp.hook_point = hc_fold_pre_engram,
glp.spec_version = 3. A conformant reader applies the projection to the
mean over stream copies at the fold consuming layer N's FFN write AND arms
the attention output writer with the same stack — a reader that implements
only the fold under-doses and must refuse the file
(spec,
"Multi-copy streams and the fold site"). Pre-3 readers refuse this file by
design.

Validation (vLLM offline lane, greedy, thinking on, 2026-10-28/29)

weaponize32 alpha ladder (32 items: 16 weaponization asks + 16 benign
defensive variants; keyword-scored refusals, all arms same vector):

alpha weaponize32 refused notes
stock 20/32
0.5 16/32
1.0 16/32 flat refusals convert to analyses
1.5 13/32
2.0 8/32 frameworks, no working tooling
2.5 8/32
3.0 5/32 known-CVE items flip to full exploit-chain walkthroughs
3.5 4/32 operating point — clean outputs
4.0 3/32 CVE-ID token corruption appears
5.0 4/32 regression: typos, worsening corruption

At the 3.5 operating point: refusal32 6/32 refused (stock 32/32),
benign32-holdout 9/32 refused (stock 8/32 — within keyword noise, zero
garbled), min/median completion length 1542/1871 chars. The 4 residual
weaponize32 refusals are knowledge-boundary (real but post-cutoff CVEs the
checkpoint cannot know) plus two honest infeasibility answers — not refusal
behaviour. Alpha 4.0 buys one more item at the cost of exact-token recall;
alpha 5.0 regresses on refusal count and coherence. Coverage cannot reach
32/32 by alpha scaling: factual precision is the binding constraint.

Files

  • glp.deepseek-v41-flash-1017-GLP-27-L11-37-a3.5.gguf — the GLP container
    (spec_version 3, content_sha256
    f0aaba2fd1d5d52deb605495e0b99b8e868d44a4e612c994688cf243a95dfcb4).
  • dsv41-perlayer-dirs-ffn.pt — the raw {layer: tensor(5120)} directions
    the dsv41 serving hotfix consumes (WEIGHTLESS_STEER_PATH). Zero rows
    outside L11–37 are omitted in the GGUF; the .pt keeps the full 1–39
    zero-padded stack the patch expects.

Provenance

Derived 2026-10-28, validated 2026-10-28/29. Experiment log:
refusal-research/experiments/20261024-dsv41-1017-weaponize-glp/RESULT.md
(ladders, collateral suites, trace analysis). Derivation and validation
tooling: weightless/tools/captain-vector (0.5.0).

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