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huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated

huihui-ai Qwen 33B
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Response includes
  • classification m3
  • files 23
  • benchmarks 5 entries
  • hub_downloads_all_time 257,022
  • providers 1
  • author_summary 185 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

No other method signals detected in this model.
Confidence
HIGH
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=huihui-ai (specializes in M3 layer-wise ablation)
  • is_gguf=0 (base model, not repackage)
  • 'abliterated' in name/tags
Refusal direction extracted via
Extraction technique

huihui-ai layer-band extraction

Confidence
HIGH
Why we say so
producer=huihui-ai (documented layer-band methodology in model cards)
Downloads · lifetime
257K
1K last 30d - cooling
Likes
257
Descendants
23
in 23 direct forks
Model age
20mo ago
created 2025-01-22
Available via
1 provider
featherless-ai
Downloads over time
Now257.3K→from291↑88,327%
094.3K188.7K283K291 on Jan 22, 2025257.3K on Oct 12Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 22, 2025 → Oct 12 · 136 snapshots · spans 628 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
BBH average 0.4003113244259956 OpenLLM-v2
IFEval instruct 0.4916067146282973 OpenLLM-v2
IFEval-Prompt 0.3456561922365989 OpenLLM-v2
MATH lvl 5 0 OpenLLM-v2
MMLU-Pro 0.46866688829787234 OpenLLM-v2

Genealogy 23 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.

deepseek-ai/DeepSeek-R1-Distill-Qwen-32B this lineage
huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated↓ 1,130 23 forks

Metadata

Tags
transformers safetensors qwen2 text-generation abliterated uncensored conversational base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-32B base_model:finetune:deepseek-ai/DeepSeek-R1-Distill-Qwen-32B text-generation-inference endpoints_compatible region:us

Related

Total size
61.0 GB
Files
23
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-02-16 08:42

Files by quantization

Auxiliary files 23 files 61.0 GB
model-00001-of-00014.safetensors 4.56 GB 74b83d9e download
model-00004-of-00014.safetensors 4.54 GB 801833f0 download
model-00005-of-00014.safetensors 4.54 GB d02bae3f download
model-00006-of-00014.safetensors 4.54 GB d50aad93 download
model-00007-of-00014.safetensors 4.54 GB f75522eb download
model-00008-of-00014.safetensors 4.54 GB e74ed688 download
model-00009-of-00014.safetensors 4.54 GB f483180c download
model-00010-of-00014.safetensors 4.54 GB 4ab01ae1 download
model-00011-of-00014.safetensors 4.54 GB 472ca947 download
model-00012-of-00014.safetensors 4.54 GB 31cc5a45 download
model-00013-of-00014.safetensors 4.54 GB a1a74ebd download
model-00003-of-00014.safetensors 4.54 GB e6f5632e download
model-00002-of-00014.safetensors 4.54 GB 7fda82f4 download
model-00014-of-00014.safetensors 1.98 GB ea2415e3 download
tokenizer.json 10.9 MB e20ddafc download
model.safetensors.index.json 62.5 KB d19f75d8 download
tokenizer_config.json 6.79 KB f8c31060 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.16 KB ce58fa06 download
LICENSE 1.04 KB d42fae90 download
config.json 691 B 1c00c16b download
special_tokens_map.json 508 B 6caea2ce download
generation_config.json 190 B 829e028b download

README current version from Hugging Face


base_model:

  • deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
    library_name: transformers
    tags:
  • abliterated
  • uncensored

huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated

This is an uncensored version of deepseek-ai/DeepSeek-R1-Distill-Qwen-32B created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

If "<think>" does not appear or refuses to respond, you can first provide an example to guide, and then ask your question.
For instance:

  How many 'r' characters are there in the word "strawberry"?

Use with ollama

You can use huihui_ai/deepseek-r1-abliterated directly

ollama run huihui_ai/deepseek-r1-abliterated:32b

Donation

Your donation helps us continue our further development and improvement, a cup of coffee can do it.
  • bitcoin:
  bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge

README history 6 versions

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

  1. 2025-02-16Update README.md939b7e21.2 KB
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  2. 2025-02-09Update README.md1ff2d35972 B
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  3. 2025-02-09Update README.mde4bbf63955 B
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  4. 2025-01-26Update README.mde2b053e787 B
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  5. 2025-01-22Upload 22 files0388ce9599 B
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  6. 2025-01-22initial commit2720b2428 B
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Discussions 9 threads

  1. 2026-05-07PRFix chat_template crash when assistant message omits the `content` keyopen1 💬#9
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  2. 2025-06-15PRPull Req1 💬#8
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  3. 2025-02-12效果不是很好,字数总是不达标,还总是重复。open2 💬#7
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  4. 2025-02-08Abliteration but still not entirely uncensoredopen6 💬#6
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  5. 2025-01-31Please tell me the difference between 'abliterated' and 'uncensored' versionopen7 💬#5
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  6. 2025-01-30Confused about uncensoring scopeopen1 💬#4
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  7. 2025-01-29bad performanceopen9 💬#3
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  8. 2025-01-23the abliteration doesn't workopen5 💬#2
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  9. 2025-01-23Good work!open3 💬#1
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