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drowzeys/keys-DeepSeekV4-Flash-GA-0731-Dspark-Abliterated-Anchored-Tensors

drowzeys Deepseek 296B MoE
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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 · lifetime
41K
35K last 30d - active
Likes
128
Descendants
1
in 1 direct fork
Model age
2mo ago
created 2026-08-01
Downloads over time
Now55.9K→from12.6K↑345%
10.4K27K43.6K60.2K12.6K on Aug 2655.9K on Oct 12AugSepOct
Aug 26 → Oct 12 · 48 snapshots · spans 47 days

Genealogy 1 direct fork

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

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
59
Quantizations
1
Registered
2026-08-23 06:02
Last updated on HF
2026-08-23 05:52

Files by quantization

Auxiliary files 59 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 7.03 KB 9f4b7a85 download
ABLIT_META.json 5.33 KB 6eaaacdb download
RESPONSIBLE_USE.md 3.68 KB bf2846ee download
DSPARK_ANCHOR_MANIFEST.json 3.07 KB a1a2c737 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
  • anchored-tensors
    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-Anchored-Tensors

Drop-in abliterated weights for official DeepSeek-V4-Flash-0731 (GA) that still run MiaAI-Lab’s production 2× DGX Spark recipe with DSpark speculative decoding intact.

The ablit is L10–35 only. DSpark target layers 40–42 (and L36–39) are restored hash-identical to official stock safetensors. MTP / draft tensors were never edited (edit_mtp: false).

This replaces the earlier L10–42 drop on this repo (…-Abliterated-32-32). Same gated terms. Old URL redirects here.

HF https://huggingface.co/drowzeys/keys-DeepSeekV4-Flash-GA-0731-Dspark-Abliterated-Anchored-Tensors
Base deepseek-ai/DeepSeek-V4-Flash-0731 @ 9e165c30
Ablit L10–35 · λ=3.5 · k=1 · 26× attn.wo_b · mean Δrel ≈ 0.057
Anchors L36–42 shards = official SHA-256 · DSpark targets [40, 41, 42] · MTP stock
Scales float8_e8m0fnu preserved
Runtime Anemll ghcr.io/anemll/dspark-vllm-gx10:0.1.1 + MiaAI 2× recipe · 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

See RESPONSIBLE_USE.md and the gate form above.


Why “anchored tensors”

0731 ships DSpark inside the checkpoint (dspark_target_layer_ids: [40, 41, 42]). Projecting wo_b through L42 walks through the drafter. The target stops refusing; the stock drafter keeps proposing refusal-shaped tokens; acceptance dies.

This drop restores those safetensor shards to official stock:

Layer Shard dest SHA-256 prefix
36 model-00038-of-00048.safetensors 137fa617a74ba8e7
37 model-00039-of-00048.safetensors a29af1aa519d7ce7
38 model-00040-of-00048.safetensors 8bc93d8a7d1987dc
39 model-00041-of-00048.safetensors fd312e7fdd6cb579
40 model-00042-of-00048.safetensors 4d19bf368083c9a1
41 model-00043-of-00048.safetensors b7103842ceb70848
42 model-00044-of-00048.safetensors 422d3889fa20c238

Invariant (DSPARK_ANCHOR_MANIFEST.json): restored target shards hash-identical to official stock; live source and all MTP/draft tensors unchanged.


Live vs official 0731 (same Mia production stack, 2026-08-23)

2× DGX Spark · Anemll 0.1.1@sha256:a83948492cf1… · vLLM 0.25.2.dev0+g752a3a504 · 1M ctx · seqs=6 · util 0.835 · thinking off.

Real tasks (C1 decode / C6 agg):

Task Official 0731 This checkpoint
structural (JSON fill-512) 64.1 / 173 66.0 / 171
list 84.7 / 213 81.1 / 315
essay 31.9 / 90 34.1 / 94
reading 35.2 / 99 34.6 / 93

MiaAI matrix (bench-miaai.py, 128 tok, thinking false):

Cell Official This checkpoint
c=1 p=256 67.6 69.2
c=6 p=256 best agg 167.5 173.9
c=1 p=128K 76.1 · TTFT 85s 67.4 · TTFT 83s
KV tokens 2,490,368 (2.38× @ 1M) 2,471,790 (2.36×)

Smoke 6/6 both legs. Long c=6 is Mia issue #27 (serialized long prefill), not an ablit regression.


Download

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

The previous id drowzeys/keys-DeepSeekV4-Flash-GA-0731-Dspark-Abliterated-32-32 redirects here.

Serve (Mia + Anemll, 2× DGX Spark)

docker pull ghcr.io/anemll/dspark-vllm-gx10:0.1.1
# In MiaAI DeepSeek-v4-Flash-DSpark-2x-DGX-Spark .env.dspark:
# ABLITERATED=1
# DSPARK_MODEL_ABLITERATED=/path/to/DeepSeek-V4-Flash-0731-ablit-anchored
# DSPARK_REVISION_ABLITERATED=
# DSPARK_ENCODING_FILE=.../encoding/encoding_dsv4.py
# MTP_NUM_TOKENS=5  GPU_MEMORY_UTILIZATION_TEXT=0.835  MAX_MODEL_LEN=1048576

Files

Path Purpose
model-*-of-00048.safetensors + index Full FP8 checkpoint (DSpark MTP stock + restored L36–42)
DSPARK_ANCHOR_MANIFEST.json SHA-256 invariant for restored shards
encoding/encoding_dsv4.py 0731 tokenizer encoding for Anemll/Mia
ABLIT_META.json Edit stats / recipe fingerprint
ablit/ Refusal-direction artifacts

Credits

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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