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RobinsonLabs/Qwen3.5-122B-A10B-abliterated

RobinsonLabs Qwen 122B MoE
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Response includes
  • classification m1
  • files 52
  • benchmarks 11 entries
  • hub_downloads_all_time 95
  • author_summary 15 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 · lifetime
95
20 last 30d - stable
Likes
1
Model age
3mo ago
created 2026-06-20
Downloads over time
Now95→from0↑0%
035701050 on Jun 1795 on Oct 1195 on Sep 27JunJulAugSepOct
Jun 17 → Oct 11 · 56 snapshots · spans 116 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 1.4 UGI
Hazardous 1.8 UGI
Natural Intelligence 31.08 UGI
Political lean -21.9% UGI
Sensitive-Info 17.81 UGI
SocPol 2.3 UGI
UGI 17.71 UGI
Willingness (10) 1.8 UGI
W10-Adherence 1.5 UGI
W10-Direct 2 UGI
Writing 39.54 UGI

Genealogy 0 direct forks

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Variants by this author 2 formats · 5K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Tags
region:us

Related

Total size
233 GB
Files
52
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-09-26 15:17

Files by quantization

Auxiliary files 52 files 233 GB
model.safetensors-00025-of-00039.safetensors 6.00 GB cfb908ad download
model.safetensors-00026-of-00039.safetensors 6.00 GB d8bdcf0a download
model.safetensors-00027-of-00039.safetensors 6.00 GB d370be07 download
model.safetensors-00028-of-00039.safetensors 6.00 GB d3abd664 download
model.safetensors-00029-of-00039.safetensors 6.00 GB 2839e297 download
model.safetensors-00030-of-00039.safetensors 6.00 GB c5d7608c download
model.safetensors-00031-of-00039.safetensors 6.00 GB 22fd21c6 download
model.safetensors-00032-of-00039.safetensors 6.00 GB f8d31f8d download
model.safetensors-00033-of-00039.safetensors 6.00 GB e5656b5b download
model.safetensors-00034-of-00039.safetensors 6.00 GB 176e8a1c download
model.safetensors-00035-of-00039.safetensors 6.00 GB d134a57e download
model.safetensors-00036-of-00039.safetensors 6.00 GB 473a5d57 download
model.safetensors-00001-of-00039.safetensors 6.00 GB 332c1e4b download
model.safetensors-00002-of-00039.safetensors 6.00 GB 1d6aeaa9 download
model.safetensors-00003-of-00039.safetensors 6.00 GB 1bd191f3 download
model.safetensors-00004-of-00039.safetensors 6.00 GB 9dce8e28 download
model.safetensors-00005-of-00039.safetensors 6.00 GB 6dc9a48b download
model.safetensors-00006-of-00039.safetensors 6.00 GB 8e8ec895 download
model.safetensors-00007-of-00039.safetensors 6.00 GB b5d776a9 download
model.safetensors-00008-of-00039.safetensors 6.00 GB d951d549 download
model.safetensors-00009-of-00039.safetensors 6.00 GB 6c79315a download
model.safetensors-00010-of-00039.safetensors 6.00 GB 531c0dd9 download
model.safetensors-00011-of-00039.safetensors 6.00 GB facd57a4 download
model.safetensors-00012-of-00039.safetensors 6.00 GB c0b23e1c download
model.safetensors-00013-of-00039.safetensors 6.00 GB 6a67ca54 download
model.safetensors-00014-of-00039.safetensors 6.00 GB c89d477a download
model.safetensors-00015-of-00039.safetensors 6.00 GB df62fe48 download
model.safetensors-00016-of-00039.safetensors 6.00 GB 1e1de325 download
model.safetensors-00017-of-00039.safetensors 6.00 GB b2c410f2 download
model.safetensors-00018-of-00039.safetensors 6.00 GB 0e5253bc download
model.safetensors-00019-of-00039.safetensors 6.00 GB 066cd77b download
model.safetensors-00020-of-00039.safetensors 6.00 GB 132011d4 download
model.safetensors-00021-of-00039.safetensors 6.00 GB cba977a5 download
model.safetensors-00022-of-00039.safetensors 6.00 GB fd5aa045 download
model.safetensors-00023-of-00039.safetensors 6.00 GB 8da9dbf4 download
model.safetensors-00024-of-00039.safetensors 6.00 GB 340ea981 download
model.safetensors-00038-of-00039.safetensors 6.00 GB 559252a7 download
model.safetensors-00037-of-00039.safetensors 5.96 GB 45e48394 download
model.safetensors-00039-of-00039.safetensors 5.04 GB bb2b7d7a download
tokenizer.json 12.2 MB 5f9e4d49 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 198 KB 7de806ae download
tokenizer_config.json 16.3 KB eda48d3e download
LICENSE 11.3 KB f938136e download
chat_template.jinja 7.57 KB a585dec8 download
config.json 3.71 KB 25714ef7 download
README.md 2.04 KB b28a2689 download
.gitattributes 1.53 KB 52373fe2 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 244 B 85b45ab4 download

README current version from Hugging Face


license: apache-2.0
base_model: Qwen/Qwen3.5-122B-A10B
library_name: transformers
pipeline_tag: text-generation
tags:

  • abliterated
  • uncensored
  • mtp
  • qwen3.5
  • moe
  • not-for-all-audiences

Qwen3.5-122B-A10B - Abliterated (fp16 base)

Abliterated, Native-MTP-Preserved fp16 base of
Qwen/Qwen3.5-122B-A10B, in safetensors.
Multi-Token Prediction (MTP) and vision tensors are preserved through abliteration.

This is the full-precision base that the
RobinsonLabs/Qwen3.5-122B-A10B-abliterated-GGUF
quant ladder was quantized from. If you want a ready-to-run quant, use that repo. This repo is the
master for further surgery (re-abliteration, LoRA merge, fine-tune) and for making your own quants.

Disclosure

This model is abliterated - the hard-refusal reflex on adult / creative content has been
reduced via single-direction weight orthogonalization. Harm guardrails are retained by design:
self-harm prompts still redirect to help (e.g. 988), and it is not intended to assist genuine
wrongdoing. This is a v1, partial abliteration; capability is preserved. Tagged
not-for-all-audiences. Use responsibly - you are responsible for your use. License inherited from
the base model: Apache-2.0.

Method

  • Abliteration: single mid-layer refusal direction removed via weight orthogonalization on the
    fp16 base; MTP (nextn) block, vision, and routers preserved.
  • Format: safetensors, sharded, with config + tokenizer + index. Native MTP head preserved.

Files

Format Precision ~Size Notes
safetensors (sharded) fp16 ~234 GB abliterated base; MTP preserved

Quants

GGUF quants (Q8_0 down to IQ2_XS, MTP-preserved, imatrix-weighted) are published at
RobinsonLabs/Qwen3.5-122B-A10B-abliterated-GGUF.

Provenance

Qwen3.5-122B-A10B (base, Apache-2.0) -> abliterated (fp16) -> GGUF quant ladder.

README history 2 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-09-26Withdraw model (2026-09-25)e192809240 B
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  2. 2026-06-20Add model card - abliterated fp16 base (safetensors)c418e7f2 KB
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