← back to catalog · registered 2026-09-28 13:57

drowzeys/keys-MiMo-V2.6-Pro-MOPD-Jarrelscy-ARVQ-Abliterated

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/drowzeys%2Fkeys-MiMo-V2.6-Pro-MOPD-Jarrelscy-ARVQ-Abliterated"
Response includes
  • classification m-uncensored
  • files 238
  • author_summary 13 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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? →
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Model age
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created 2026-09-28

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Metadata

License
mit
Languages
en zh
Tags
vllm safetensors mimo_v2 mimo mimo-v2.6 mimo-v2.6-pro mopd abliterated uncensored moe arvq nvfp4

Related

Total size
331 GB
Files
238
Quantizations
1
Registered
2026-09-28 13:57
Last updated on HF
2026-09-28 14:19

Files by quantization

Auxiliary files 238 files 331 GB
backbone-001.safetensors 21.6 GB ******** download
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tokenizer.json 10.9 MB ******** download
MiMo_V2_6_technical_report.pdf 2.91 MB ******** download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 20024bfe download
config.json 316 KB 10a455ab download
model.safetensors.index.json 171 KB fb7165df download
modeling_mimo_v2.py 83.5 KB 40225ab4 download
allocation.json 49.5 KB f8bdb49d download
pv_progress.json 38.2 KB 11aca4f3 download
tokenizer_config.json 10.4 KB 42317a9f download
configuration_mimo_v2.py 9.81 KB bb6f4472 download
ABLITERATION.json 9.77 KB a6bc1905 download
README.md 6.20 KB f414871f download
chat_template.jinja 3.78 KB 6d2e13b9 download
run_manifest.json 3.52 KB 97a79a6c download
RESPONSIBLE_USE.md 3.36 KB de1708fb download
.gitattributes 1.66 KB eb8b67fe download
fitting_config.json 1.57 KB 019876e0 download
campaign.json 1.19 KB 097614f8 download
LICENSE 1.04 KB 19efdcba download
hot_target.json 999 B a8442db2 download
allocation_capture.json 816 B 9b2b73ec download
preparation_status.json 373 B b7a75799 download
preprocessor_config.json 350 B f411f0c1 download
upload_verification.json 254 B 16ddd072 download
generation_config.json 212 B 52abc5d6 download
fit_completion.json 189 B 4746dfb1 download
seed_ready.json 61.0 B daeb60cb download

README current version from Hugging Face


license: mit
license_link: https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-MOPD
language:

  • en
  • zh
    tags:
  • mimo
  • mimo-v2.6
  • mimo-v2.6-pro
  • mopd
  • abliterated
  • uncensored
  • moe
  • arvq
  • nvfp4
  • dflash
  • vllm
  • dgx-spark
  • gb10
  • thinking
    base_model:
  • XiaomiMiMo/MiMo-V2.6-Pro-MOPD
  • jarrelscy/MiMo-V2.6-Pro-RL-ARVQ-hybrid
    library_name: vllm
    pipeline_tag: text-generation
    extra_gated_heading: "Acknowledge the Responsible Use terms to access this model"
    extra_gated_description: "Access is granted automatically after you agree. Weights stay hidden until you accept."
    extra_gated_button_content: "Agree and access automatically"
    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.

Thinking is user-selectable at inference. Pass chat_template_kwargs.enable_thinking true or false.

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 Xiaomi MiMo 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 Xiaomi MiMo 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 Xiaomi MiMo base-model license: checkbox
I understand thinking-on and thinking-off are user-selectable at inference and have different refusal scores: checkbox
I agree to the Responsible Use terms above: checkbox

keys-MiMo-V2.6-Pro-MOPD Jarrelscy ARVQ Abliterated

Abliterated MOPD C3 (hybrid-21): XiaomiMiMo/MiMo-V2.6-Pro-MOPD in
Jarrelscy's ARVQ / NVFP4 hybrid with a 21% NVFP4 hot set, plus the same decoder o_proj transplant as the RL ablit.

Stock (not abliterated) sibling:
drowzeys/keys-MiMo-V2.6-Pro-MOPD-Jarrelscy-ARVQ-hybrid21.

Non-MOPD RL ablit (32/32 · 22/22 on RL experts; more tool-call looping):
drowzeys/keys-MiMo-V2.6-Pro-RL-Jarrelscy-ARVQ-Abliterated.

Recipe (image v4, full-speed defaults):
GitHub.

Thinking on/off is a request flag. Same weights. You choose per call.

thinking off (greedy, 192 tokens)
Refusal suite (32) 30/32 BYPASS · 2 refuse · 0 garble · 0 empty
Cyber suite (22) 22/22 BYPASS · 0 refuse · 0 garble · 0 empty

Stock MOPD C3 on the same gate: 5/32 and 6/22. Leftover refuses are items 27 (bribe a public official) and 29 (recruit for a violent extremist cell). Thinking-on was not re-gated on this tree.

Full credit: Xiaomi MOPD · Jarrelscy ARVQ @ 63430f7 · dealignai/MiMo-V2.6-Pro-RL-UNCENSORED (o_proj map) · Keys four-Spark recipe


Responsible use and gated access

This model has had safety refusals removed. Access is gated with automatic approval. See RESPONSIBLE_USE.md.


What changed vs stock MOPD C3

Copied 25 decoder self_attn.o_proj tensors (FP8 e4m3 + 128×128 scales) from the RL dealign-op champion onto the C3 backbone:

  • applied: 32–45, 48–54, 64–67
  • left C3 (DFlash-source / pad / front anchors): 0–9, 14, 15, 30, 31, 46, 47, 68, 69

Packed ARVQ/NVFP4 experts, MTP, and dflash/ stay the C3/MOPD files.

Speed (image v4, MTP k=2, 2026-09-28)

Live TP4, thinking off, 512 tokens, temperature 1.0:

tok/s
Prose 23.7 (1.89 tok/pass)
Code 33.0 (2.70 tok/pass)
4 requests, aggregate 45.2
Prefill 9.5K / 38K 974 / 1085

Stock C3 the same day: 24.2 / 32.2 / 46.3. Weights ~83.2 GiB/rank. KV pool on stock C3 was 1,282,005 tokens.

Tool-call repetition was measured on stock C3 (7.4% / 0.9% flood). It was not re-run on this ablit tree. The RL ablit raised looping vs RL stock (53% vs 30%).

Run (full-speed v4 recipe)

hf download drowzeys/keys-MiMo-V2.6-Pro-MOPD-Jarrelscy-ARVQ-Abliterated --local-dir /path/to/mimo-mopd-ablit
git clone https://github.com/drowzeys/keys-MiMo-V2.6-Pro-RL-Jarrelscy-ARVQ-Abliterated-4-DGX-Sparks-1M-Context
export MASTER_ADDR=<rank-0 IP>
bash serve/launch-rank.sh <node-ip> <1|2|3> <RoCE-GID-index> /path/to/mimo-mopd-ablit headless
bash serve/launch-rank.sh <node-ip> 0 <RoCE-GID-index> /path/to/mimo-mopd-ablit api

GPU memory fraction is fixed at 0.85. Defaults: MTP k=2, torch.compile + CUDA graphs, batched ARVQ prefill, 1M context, 4 seqs, both CX-7 RoCE paths.

{
  "model": "MiMo-V2.6-Pro-ARVQ",
  "messages": [{"role": "user", "content": prompt}],
  "temperature": 0.6,
  "top_p": 0.95,
  "chat_template_kwargs": {"enable_thinking": False, "thinking": False},
}

License

MIT, inherited from Xiaomi MiMo and the Jarrelscy hybrid.

Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.