drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored

🤗 Hugging Face 来源text-generationmit165B 参数176 GBsafetensors✓ 49 个校验和今天更新
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DeepSeek-V4-Flash-DSpark — Abliterated (Uncensored)

Drop-in uncensored / abliterated weights for DeepSeek-V4-Flash-DSpark (284B MoE / ~13B active, DSpark speculative head, 1M context).

Measured on 2× NVIDIA DGX Spark (GB10) TP=2, stage-c vLLM, kv_cache_dtype=nvfp4_ds_mla:

metric value
Context 1,048,576
C1 pure decode ~57 tok/s (code, 128-tok)
Refusal suite ~100% bypass (32-prompt battery + hard drugs probe)
Hermes agent usable with on-demand skills prompt (see GitHub)

Responsible Use

This model has had safety refusals removed. That makes it useful for red-teaming, security research, evaluation, and unfiltered assistant tasks — and also removes guardrails a user must therefore supply themselves.

Access request (gated)

When requesting access on Hugging Face, provide:

Field Purpose
Username Your name or handle (form may default to your HF username)
Email Contact email (form may default to your HF account email)
Reason for intended use Brief description of planned use (e.g. red-teaming, evaluation, research, local assistant)

Access is granted only after you complete these fields and accept the prohibited-use / responsibility terms.

Prohibited uses (access is gated on agreeing to these)

By requesting access, downloading, or using these weights, you agree:

  • Anything involving the sexual exploitation or endangerment of minors.
  • You must be of age 18 years or older to use and download this model.
  • You agree any information generated that can cause harm in terms of generating recipe, knowledge to make any materials/substances is your own input and responsibility. You will be accountable for any harm/damage caused by your action/input.
  • Content promoting self-harm or suicide.
  • Generation of material that is illegal in your jurisdiction, or that targets real individuals for harassment, doxxing, or fraud.
  • Any use prohibited by the upstream DeepSeek license.

You are responsible for adding appropriate safety filtering, human review, and access controls for your deployment. The weights are provided as-is, with no warranty. The license is inherited from the upstream DeepSeek base model — review and comply with it before use or redistribution.

By checking the gated-access agreement, you confirm you have read and accept these terms.

Method (hybrid layer-range abliteration)

  • Not LoRA — mHC-resistant family; LoRA edits are ineffective.
  • Direct FP8 attn.wo_b weight projection (diff-in-means / SRA-cleaned rank-1 direction).
  • Stock wo_b on layers 0–9 (chat / tool protocol).
  • Abliterated wo_b on layers 10–42 + MTP draft (mtp.*.attn.wo_b).
  • λ = 3.5, rank-1 SRA (capability-orthogonalized refusal direction).

Base checkpoint: deepseek-ai/DeepSeek-V4-Flash-DSpark (byte-identical except the edited wo_b tensors).

Files

Full 48-shard safetensors drop-in (same layout as official DSpark release) + encoding/ + inference/.

Serve (2× DGX Spark example)

# Image (GB10 stage-c / B12X / nvfp4_ds_mla lineage)
# e.g. ghcr.io/drowzeys/vllm-dspark-nvfp4-stage-c:gb10
# or local: vllm-dspark-runtime:dspark-nvfp4-stage-c

# Weights on BOTH nodes
huggingface-cli download drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored \
  --local-dir ~/models/dsv4-flash-dspark-abliterated

# Launch rank1 first, then rank0 — see GitHub scripts/
MODELDIR=~/models/dsv4-flash-dspark-abliterated \
  bash scripts/dsv4-nvfp4-1m-serve.sh 1
MODELDIR=~/models/dsv4-flash-dspark-abliterated \
  bash scripts/dsv4-nvfp4-1m-serve.sh 0

Defaults: max_model_len=1048576, kv_cache_dtype=nvfp4_ds_mla, DSpark k=5, B12X MoE, FULL CUDA graphs, GMU=0.82.

Hermes notes

Abliterated models can echo Hermes skill catalogs if the client still uses “Skills (mandatory) / MUST skill_view”. Use the on-demand skills prompt patch documented in the companion GitHub repo.

Companion GitHub

Scripts, eval logs, hybrid rebuild tooling:

https://github.com/drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-1M-57toks

Charts & data

Full write-up: RESULTS.md

file description
results/eval_tune_final.json final dual-goal pass (Hermes + 100% bypass)
results/refusal_suite_1m_ablit.json 32-prompt refusal suite labels
results/ABLIT_META.json layer range / λ / edit stats
results/refusal_direction_r1.pt SRA rank-1 refusal direction