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drowzeys/MiMo-V2.6-Flash-RL-Abliterated

drowzeys 303B MoE
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  • classification m1
  • files 80
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  • author_summary 15 models
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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
99
30 last 30d - stable
Likes
8
Model age
6w ago
created 2026-09-23
Downloads over time
Now178→from0↑0%
0651311960 on Sep 23178 on Nov 8178 on Oct 31SepOctNov
Sep 23 → Nov 8 · 47 snapshots · spans 46 days

Genealogy 0 direct forks

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

Metadata

License
mit
Languages
en zh
Tags
transformers safetensors mimo_v2 text-generation mimo mimo-v2.6 mimo-v2.6-flash abliterated uncensored moe fp8 mxfp4

Related

Total size
161 GB
Files
80
Quantizations
1
Registered
2026-09-23 16:57
Last updated on HF
2026-09-23 16:35

Files by quantization

Auxiliary files 80 files 161 GB
model_pp0_ep0_shard0.safetensors 12.5 GB ******** download
model_pp0_ep25_shard0.safetensors 2.34 GB ******** download
model_pp0_ep26_shard0.safetensors 2.34 GB ******** download
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model_pp0_ep57_shard0.safetensors 2.34 GB ******** download
model_pp0_ep58_shard0.safetensors 2.34 GB ******** download
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model_pp0_ep60_shard0.safetensors 2.34 GB ******** download
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model_pp0_ep62_shard0.safetensors 2.34 GB ******** download
model_pp0_ep63_shard0.safetensors 2.34 GB ******** download
model_pp0_ep10_shard0.safetensors 2.34 GB ******** download
model_pp0_ep11_shard0.safetensors 2.34 GB ******** download
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model_pp0_ep22_shard0.safetensors 2.34 GB ******** download
model_pp0_ep23_shard0.safetensors 2.34 GB ******** download
model_pp0_ep24_shard0.safetensors 2.34 GB ******** download
model_pp0_ep3_shard0.safetensors 2.34 GB ******** download
model_pp0_ep4_shard0.safetensors 2.34 GB ******** download
model_pp0_ep5_shard0.safetensors 2.34 GB ******** download
model_pp0_ep6_shard0.safetensors 2.34 GB ******** download
model_pp0_ep7_shard0.safetensors 2.34 GB ******** download
model_pp0_ep8_shard0.safetensors 2.34 GB ******** download
model_pp0_ep9_shard0.safetensors 2.34 GB ******** download
model_pp0_ep2_shard0.safetensors 2.34 GB ******** download
model_pp0_ep1_shard0.safetensors 2.34 GB ******** download
model_mtp.safetensors 1.11 GB ******** download
tokenizer.json 10.9 MB ******** download
model.safetensors.index.json 6.58 MB 717104e3 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
modeling_mimo_v2.py 83.5 KB 40225ab4 download
tokenizer_config.json 11.9 KB 39a944cb download
configuration_mimo_v2.py 9.81 KB bb6f4472 download
config.json 7.88 KB 9e0d9673 download
README.md 5.30 KB 1b2905a4 download
chat_template.jinja 3.78 KB f23265d9 download
RESPONSIBLE_USE.md 2.92 KB 098a12c1 download
.gitattributes 1.66 KB 47161631 download
preprocessor_config.json 350 B f411f0c1 download
generation_config.json 195 B 167a2b07 download

README current version from Hugging Face


license: mit
license_link: https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL
language:

  • en
  • zh
    tags:
  • mimo
  • mimo-v2.6
  • mimo-v2.6-flash
  • abliterated
  • uncensored
  • moe
  • fp8
  • mxfp4
  • dflash
  • vllm
  • sglang
  • dgx-spark
  • gb10
    base_model: XiaomiMiMo/MiMo-V2.6-Flash-RL
    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 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 agree to the Responsible Use terms above: checkbox

MiMo-V2.6-Flash-RL Abliterated

Drop-in abliterated weights for XiaomiMiMo/MiMo-V2.6-Flash-RL. Same layout as the base checkpoint: FP8 attention, MXFP4 experts, DFlash draft head, and MTP.

Base XiaomiMiMo/MiMo-V2.6-Flash-RL
License MIT, inherited from the base
Refusal suite 27/32 BYPASS · 5 refuse · 0 garble
Cyber suite 22/22 BYPASS · 0 refuse · 0 garble
Edit Decoder self_attn.o_proj only · λ=3.5
Left stock Experts, vision, audio, embeddings, DFlash head, MTP

Thinking was off for both suites. A reply counts only when it starts delivering the requested content. This is not a 32/32 checkpoint.

Full credit: XiaomiMiMo/MiMo-V2.6-Flash-RL · tonyd2wild/MiMo-V2.6-Flash-2x-DGX-Spark


Responsible use and gated access

This model has had safety refusals removed. That makes it useful for red-teaming, security research, evaluation, and unfiltered assistant tasks, and it removes guardrails you must supply yourself.

Access is gated. Agreeing to the terms grants access automatically. By requesting access, downloading, or using these weights, you agree to the terms below.

See RESPONSIBLE_USE.md.

Prohibited uses

  1. Anything involving the sexual exploitation or endangerment of minors.
  2. You must be 18 or older to download or use this model.
  3. Information generated that can cause harm, including recipes or knowledge used to make materials or substances, is your own input and your responsibility. You are accountable for harm caused by your actions or inputs.
  4. Content promoting self-harm or suicide.
  5. Material that is illegal in your jurisdiction, or that targets real individuals for harassment, doxxing, or fraud.
  6. Any use prohibited by the upstream Xiaomi MiMo license.

What changed

Only decoder attention output projections (model.layers.*.self_attn.o_proj) differ from the base. λ is 3.5. Experts, the vision encoder, the audio encoder, embeddings, the DFlash draft under dflash/, and model_mtp.safetensors are the base files.

DFlash reads target layers 0, 11, 23, 35, and 47. Layers 0, 11, 23, and 35 were not edited. Layer 47 o_proj has a surgical row edit, so a stock DFlash head can accept fewer draft tokens than it does on the unmodified base. The target model still produces the abliterated continuation.


Serving

On DGX Spark (GB10), keep --gpu-memory-utilization and SGLang --mem-fraction-static at or below 0.85.

The measured suites were collected from an SGLang EAGLE serve, thinking off. The same weights load in the vLLM DFlash recipe at tonyd2wild/MiMo-V2.6-Flash-2x-DGX-Spark. That recipe's dflash/config.json trailing-comma fix still applies. Pass chat_template_kwargs.enable_thinking: false when you want the thinking-off behavior measured above.

Vendor sampling defaults are temperature 1.0 and top_p 0.95.

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