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drowzeys/keys-DeepSeekV4-Flash-GA-0731-Dspark-Abliterated-32-32

drowzeys Deepseek MoE
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  • classification m1
  • files 58
  • author_summary 14 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
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=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · 30-day
10K
↑ 3,963% in 90 days
Likes
104
Model age
2mo ago
created 2026-08-01
Downloads over time
Now12.6K→from309↑3,963%
04.6K9.2K13.8K309 on Aug 212.6K on Aug 26Aug
Aug 2 → Aug 26 · 5 snapshots · spans 24 days

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Metadata

License
other
Languages
en zh
Tags
transformers safetensors deepseek_v4 text-generation deepseek deepseek-v4 deepseek-v4-flash 0731 dspark abliterated uncensored moe

Related

Total size
155 GB
Files
58
Quantizations
1
Registered
2026-08-22 13:56

Files by quantization

Auxiliary files 58 files 155 GB
model-00048-of-00048.safetensors 3.44 GB ******** download
model-00046-of-00048.safetensors 3.36 GB ******** download
model-00004-of-00048.safetensors 3.35 GB ******** download
model-00012-of-00048.safetensors 3.34 GB ******** download
model-00014-of-00048.safetensors 3.34 GB ******** download
model-00016-of-00048.safetensors 3.34 GB ******** download
model-00018-of-00048.safetensors 3.34 GB ******** download
model-00020-of-00048.safetensors 3.34 GB ******** download
model-00022-of-00048.safetensors 3.34 GB ******** download
model-00024-of-00048.safetensors 3.34 GB ******** download
model-00026-of-00048.safetensors 3.34 GB ******** download
model-00028-of-00048.safetensors 3.34 GB ******** download
model-00030-of-00048.safetensors 3.34 GB ******** download
model-00032-of-00048.safetensors 3.34 GB ******** download
model-00034-of-00048.safetensors 3.34 GB ******** download
model-00036-of-00048.safetensors 3.34 GB ******** download
model-00038-of-00048.safetensors 3.34 GB ******** download
model-00040-of-00048.safetensors 3.34 GB ******** download
model-00042-of-00048.safetensors 3.34 GB ******** download
model-00044-of-00048.safetensors 3.34 GB ******** download
model-00006-of-00048.safetensors 3.34 GB ******** download
model-00008-of-00048.safetensors 3.34 GB ******** download
model-00010-of-00048.safetensors 3.34 GB ******** download
model-00013-of-00048.safetensors 3.32 GB ******** download
model-00015-of-00048.safetensors 3.32 GB ******** download
model-00017-of-00048.safetensors 3.32 GB ******** download
model-00019-of-00048.safetensors 3.32 GB ******** download
model-00021-of-00048.safetensors 3.32 GB ******** download
model-00023-of-00048.safetensors 3.32 GB ******** download
model-00025-of-00048.safetensors 3.32 GB ******** download
model-00027-of-00048.safetensors 3.32 GB ******** download
model-00029-of-00048.safetensors 3.32 GB ******** download
model-00031-of-00048.safetensors 3.32 GB ******** download
model-00033-of-00048.safetensors 3.32 GB ******** download
model-00035-of-00048.safetensors 3.32 GB ******** download
model-00037-of-00048.safetensors 3.32 GB ******** download
model-00039-of-00048.safetensors 3.32 GB ******** download
model-00041-of-00048.safetensors 3.32 GB ******** download
model-00043-of-00048.safetensors 3.32 GB ******** download
model-00005-of-00048.safetensors 3.32 GB ******** download
model-00007-of-00048.safetensors 3.32 GB ******** download
model-00009-of-00048.safetensors 3.32 GB ******** download
model-00011-of-00048.safetensors 3.32 GB ******** download
model-00002-of-00048.safetensors 3.32 GB ******** download
model-00003-of-00048.safetensors 3.32 GB ******** download
model-00047-of-00048.safetensors 3.32 GB ******** download
model-00045-of-00048.safetensors 1010 MB ******** download
model-00001-of-00048.safetensors 1010 MB ******** download
tokenizer.json 6.07 MB 628e3364 download
model.safetensors.index.json 5.34 MB c3b10d45 download
README.md 6.72 KB ab6a2f41 download
ABLIT_META.json 5.52 KB a2cead4a download
RESPONSIBLE_USE.md 3.37 KB 2207e65e download
config.json 1.84 KB 5f2da910 download
.gitattributes 1.48 KB a6344aac download
LICENSE 1.06 KB d62e3bef download
tokenizer_config.json 801 B f3dad388 download
generation_config.json 170 B c56a8c5b download

README current version from Hugging Face


license: other
license_name: deepseek
license_link: https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731
language:

  • en
  • zh
    tags:
  • deepseek
  • deepseek-v4
  • deepseek-v4-flash
  • "0731"
  • dspark
  • abliterated
  • uncensored
  • moe
  • fp8
  • nvfp4
  • vllm
  • dgx-spark
  • gb10
  • anemll
  • miaai
    base_model: deepseek-ai/DeepSeek-V4-Flash-0731
    library_name: transformers
    pipeline_tag: text-generation
    extra_gated_prompt: |

Responsible Use Agreement

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.

Prohibited uses (you must agree before access is granted):

  • 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.
extra_gated_fields:
Username: text
Email: text
Reason for intended use: text
I am 18 years of age or older: checkbox
I will not use this model for any sexual exploitation or endangerment of minors: checkbox
I accept full responsibility for my inputs and any harm from generated content: checkbox
I will not use this model for self-harm, suicide promotion, illegal activity, harassment, doxxing, or fraud: checkbox
I agree to comply with the upstream DeepSeek base-model license: checkbox
I agree to the Responsible Use terms above: checkbox

keys-DeepSeekV4-Flash-GA-0731-Dspark-Abliterated 32/32

Drop-in uncensored / abliterated weights for official DeepSeek-V4-Flash-0731 (GA), with DSpark MTP modules kept stock, for dual DGX Spark / Anemll + MiaAI-Lab serve.

Base deepseek-ai/DeepSeek-V4-Flash-0731 @ 9e165c30
Refusal suite 32/32 BYPASS (QuantTrio-style hard suite) · 0 refuse · 0 garble · 0 errors
Ablit L10–42 · λ=3.5 · k=1 · MTP stock (33× attn.wo_b) · mean Δrel ≈ 0.0556
Scales float8_e8m0fnu preserved (e8m0)
Runtime Anemll ghcr.io/anemll/dspark-vllm-gx10:0.1.1 + MiaAI 2× TP=2 · MTP=5 · nvfp4_ds_mla · util ≤ 0.85

Full credit: Anemll/dspark-vllm-gx10 · MiaAI-Lab/DeepSeek-v4-Flash-DSpark-2x-DGX-Spark · DeepSeek-AI


⚠️ Responsible Use & gated access (required)

WARNING: 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 you must supply yourself.

Access is gated. By requesting Hugging Face access, downloading, or using these weights, you agree to the terms below (same gate family as the other Keys DSV4F abliterated releases).

See RESPONSIBLE_USE.md for the full agreement text.

Access request fields

Field Description
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 e.g. red-teaming, security research, evaluation, local assistant

Plus all agreement checkboxes under Prohibited uses.

Prohibited uses

  1. Anything involving the sexual exploitation or endangerment of minors.
  2. You must be of age 18 years or older to use and download this model.
  3. 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.
  4. Content promoting self-harm or suicide.
  5. Generation of material that is illegal in your jurisdiction, or that targets real individuals for harassment, doxxing, or fraud.
  6. Any use prohibited by the upstream DeepSeek license.

Abliteration

Method Layer-range FP8 attn.wo_b SRA / projection
Layers 10–42 (L0–9 + MTP stock)
λ 3.5 · n_directions 1
Edited tensors 33
Direction ablit/refusal_direction_reablit_20260726.pt
Meta ABLIT_META.json

Files of interest

Path Purpose
model-*-of-00048.safetensors + index Full FP8 checkpoint (incl. embedded DSpark MTP stock)
encoding/encoding_dsv4.py 0731 tokenizer encoding helper for Anemll/Mia serve
ABLIT_META.json Edit stats / recipe fingerprint
ablit/refusal_direction_reablit_20260726.pt Direction used for this reablit
ablit/refusal_direction_r1.pt Related SRA direction artifact
results/refusal32-clean-*.json Live 32/32 suite summary

Download

# after access is approved
hf download drowzeys/keys-DeepSeekV4-Flash-GA-0731-Dspark-Abliterated-32-32 \
  --local-dir ~/models/DeepSeek-V4-Flash-0731-ablit-100

Serve (2× DGX Spark, Mia + Anemll)

docker pull ghcr.io/anemll/dspark-vllm-gx10:0.1.1
# Point MiaAI DeepSeek-v4-Flash-DSpark-2x-DGX-Spark-0731 recipe at the local dir
# DSPARK_MODEL=... SERVED_MODEL_NAME=deepseek-v4-flash-0731-ablit-100
# MTP_NUM_TOKENS=5  GPU_MEMORY_UTILIZATION≤0.85  MAX_MODEL_LEN=1048576

Benches (this fleet, clean exclusive run)

Refusal: 32/32 BYPASS.
Decode (short monologue, accept ~0.3): C1 ~31 · C4 ~71 · C6 ~87 tok/s aggregate.
Code-like prompts (accept ~0.7): C1 ~46–65 tok/s.
Stage-C knobs (local argmax / Markov / etc.) are not exposed on Anemll 0.1.1; historical champion peaks used Stage-C runtime.

Credits

Base model

https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731

Discussions 10 threads

  1. 2026-08-31deepseek exp开源了open1 💬#10
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  2. 2026-08-27Please do not login-wall the modelsopen1 💬#9
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  3. 2026-08-26能不能做一个?open1 💬#8
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  4. 2026-08-21deepseek可能即将开源图像识别open1 💬#7
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  5. 2026-08-21Coding Evaluationopen1 💬#6
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  6. 2026-08-12Hello Mr.drowzeysopen3 💬#5
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  7. 2026-08-05这个模型能否去除审查?期待open1 💬#4
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  8. 2026-08-05Vision pleaseopen1 💬#3
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  9. 2026-08-05500K context c1 87 tok/s c4 156 tok/s aggregate --- dual sparks. Thank you!!!open2 💬#2
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  10. 2026-08-04<3 Thanks you Big broopen1 💬#1
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