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RobinsonLabs/Qwen3.6-35B-A3B-abliterated

RobinsonLabs Qwen 35B MoE
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Response includes
  • classification m1
  • files 38
  • benchmarks 11 entries
  • hub_downloads_all_time 458
  • 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
458
381 last 30d - active
Likes
1
Model age
3mo ago
created 2026-06-28
Downloads over time
Now458→from23↑1,891%
116833550223 on Jul 1458 on Oct 11458 on Sep 28JulAugSepOct
Jul 1 → Oct 11 · 54 snapshots · spans 102 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 0 UGI
Natural Intelligence 25.43 UGI
Political lean -19.6% UGI
Sensitive-Info 14.03 UGI
SocPol 2.6 UGI
UGI 16.02 UGI
Willingness (10) 2 UGI
W10-Adherence 0 UGI
W10-Direct 4 UGI
Writing 35.83 UGI

Genealogy 0 direct forks

Full fork graph →

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

Variants by this author 2 formats · 7K 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
67.0 GB
Files
38
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-09-26 15:17

Files by quantization

Auxiliary files 38 files 67.0 GB
model-00001-of-00026.safetensors 3.72 GB a0917c68 download
model-00006-of-00026.safetensors 3.69 GB 217221ab download
model-00016-of-00026.safetensors 3.68 GB 8c835a8e download
model-00008-of-00026.safetensors 3.68 GB a5bb1c48 download
model-00010-of-00026.safetensors 3.68 GB 67dc57b0 download
model-00018-of-00026.safetensors 3.68 GB 38bb3a1a download
model-00025-of-00026.safetensors 3.57 GB 5117287c download
model-00014-of-00026.safetensors 3.19 GB d7e9a187 download
model-00012-of-00026.safetensors 3.18 GB 84d28657 download
model-00020-of-00026.safetensors 3.18 GB ed906b31 download
model-00022-of-00026.safetensors 3.14 GB acc08e30 download
model-00024-of-00026.safetensors 3.14 GB bb070590 download
model-00004-of-00026.safetensors 3.14 GB fe8c13cf download
model-00023-of-00026.safetensors 3.13 GB 73737e79 download
model-00003-of-00026.safetensors 3.13 GB 27a11009 download
model-00005-of-00026.safetensors 3.13 GB 142fb956 download
model-00026-of-00026.safetensors 2.08 GB 41467438 download
model-00015-of-00026.safetensors 1.52 GB cad63d26 download
model-00021-of-00026.safetensors 1.52 GB 1500eaa9 download
model-00013-of-00026.safetensors 1.52 GB 5784ad31 download
model-00002-of-00026.safetensors 1.20 GB b151943a download
model-00007-of-00026.safetensors 1.02 GB 06d3dee0 download
model-00009-of-00026.safetensors 1.02 GB 99c6c3c1 download
model-00019-of-00026.safetensors 1.02 GB b0576201 download
model-00011-of-00026.safetensors 1.02 GB 2fc19933 download
model-00017-of-00026.safetensors 1.02 GB 8885f672 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 96.1 KB bcdd53f0 download
tokenizer_config.json 16.3 KB 28d96ff3 download
config.json 3.60 KB 9c2aacf8 download
README.md 2.48 KB ed3f23ea 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 202 B 023756cf download
configuration.json 58.0 B d24dba94 download

README current version from Hugging Face


license: apache-2.0
base_model: Qwen/Qwen3.6-35B-A3B
library_name: transformers
pipeline_tag: text-generation
tags:

  • abliterated
  • qwen3.6
  • moe
  • mtp
  • not-for-all-audiences

Qwen3.6-35B-A3B - Abliterated (bf16 base)

Abliterated bf16 safetensors base of
Qwen/Qwen3.6-35B-A3B - a 35B-parameter qwen35moe
MoE with an A3B active-expert budget. Robinson Labs abliterated the base model in-house. This repo is
the full-precision master, in safetensors.

This is the bf16 base that the
RobinsonLabs/Qwen3.6-35B-A3B-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 rolling your own quants.

Multi-Token Prediction (MTP / NextN) is preserved: the blk.40.nextn.* tensors are intact
(41-block model), so the speculative-decode path is available to runtimes that support it.

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
    bf16 base; routers and the MTP/NextN block preserved.
  • Format: safetensors, sharded, with config + tokenizer + index. MTP/NextN head preserved.

Files

Format Precision ~Size Notes
safetensors (26 shards) bf16 ~67 GB abliterated base; qwen35moe, MTP-preserved (41 blocks)

The model is qwen35moe architecture with the MTP/NextN head at blk.40 preserved (41 blocks total),
~35B params with an A3B active-expert budget.

Quants

GGUF quants (Q6_K down to IQ2_M, MTP-preserved, imatrix-weighted) are published at
RobinsonLabs/Qwen3.6-35B-A3B-abliterated-GGUF.

Provenance

Qwen3.6-35B-A3B (Apache-2.0) -> abliterated bf16 (Robinson Labs). This safetensors repo is the
abliterated bf16 master; the GGUF ladder is quantized from it.

README history 3 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)a059429240 B
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  2. 2026-09-12Update model card from hf/cards/ (repo is source of truth)5f7cc734.9 KB
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  3. 2026-06-28Model carddaec7712.5 KB
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