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arzaan789/qwen3.5-2b-uncensored

arzaan789 Qwen 2B GGUF 262K ctx
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Response includes
  • classification m8
  • files 13
  • benchmarks 11 entries
  • hub_downloads_all_time 2,511
  • author_summary 28 models
  • readme_text full
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What "m8" means · taxonomy
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
M1 Direct removal →
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=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
How we label → About M8 →
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? →
Downloads · lifetime
3K
623 last 30d - stable
Likes
0
Model age
5mo ago
created 2026-04-29
Downloads over time
Now2.6K→from415↑537%
3041.2K2K2.9K415 on Apr 292.6K on Oct 11AprMayJunJulAugSepOct
Apr 29 → Oct 11 · 63 snapshots · spans 165 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 0.3 UGI
Hazardous 0.6 UGI
Natural Intelligence 9.03 UGI
Political lean -14.3% UGI
Sensitive-Info 2.6 UGI
SocPol 0 UGI
UGI 5.9 UGI
Willingness (10) 1.2 UGI
W10-Adherence 1.5 UGI
W10-Direct 1 UGI
Writing 19.27 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.

Qwen/Qwen3.5-2B this lineage
arzaan789/qwen3.5-2b-uncensored↓ 623

Metadata

License
apache-2.0
Quantizations
F16 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf uncensored abliterated qwen qwen3.5 conversational text-generation base_model:Qwen/Qwen3.5-2B base_model:quantized:Qwen/Qwen3.5-2B license:apache-2.0 endpoints_compatible region:us

Related

Other by arzaan789
phi-4-mini-uncensored 1K qwen2.5-1.5b-uncensored 1K qwen2.5-3b-uncensored 1K qwen3.5-4b-uncensored 907 smolm3-3b-uncensored 878
Same base model
huihui-ai/Huihui-Qwen3.5-2B-abliterated 2K Nic22Of2003/Qwen3.5-2B-Uncensored-HauhauCS-Aggressive-IQ4_NL 984 prithivMLmods/Gliese-Qwen3.5-2B-Abliterated-Caption 744 arzaan789/qwen3.5-2b-uncensored_ 707 DreamFast/Qwen3.5-2B-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark 634
Total size
15.7 GB
Files
13
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2026-04-29 16:12
Source huggingface.co/arzaan789/qwen3.5-2b-uncensored ↗ Base model Qwen/Qwen3.5-2B ↗

Files by quantization

F16 1 file 3.52 GB
qwen3.5_2b_uncensored.f16.gguf 3.52 GB 9c5681b5 download
Q8_0 1 file 1.87 GB
qwen3.5_2b_uncensored.Q8_0.gguf 1.87 GB 9a73218a download
Q6_K 1 file 1.45 GB
qwen3.5_2b_uncensored.Q6_K.gguf 1.45 GB d515b877 download
Q5_K 2 files 2.59 GB
qwen3.5_2b_uncensored.Q5_K_M.gguf 1.31 GB cb23f311 download
qwen3.5_2b_uncensored.Q5_K_S.gguf 1.28 GB 7b42d759 download
Q4_K 2 files 2.32 GB
qwen3.5_2b_uncensored.Q4_K_M.gguf 1.19 GB ba72f2b6 download
qwen3.5_2b_uncensored.Q4_K_S.gguf 1.13 GB b6907b0d download
Q3_K 3 files 3.06 GB
qwen3.5_2b_uncensored.Q3_K_L.gguf 1.08 GB c9da7431 download
qwen3.5_2b_uncensored.Q3_K_M.gguf 1.02 GB e10fc21a download
qwen3.5_2b_uncensored.Q3_K_S.gguf 973 MB b1258368 download
Q2_K 1 file 924 MB
qwen3.5_2b_uncensored.Q2_K.gguf 924 MB 86e21057 download
Auxiliary files 2 files 3.46 KB
.gitattributes 2.23 KB 39ee52c1 download
README.md 1.24 KB d6cf53ef download

README current version from Hugging Face

license: apache-2.0
base_model: Qwen/Qwen3.5-2B
tags:

  • uncensored
  • abliterated
  • gguf
  • qwen
  • qwen3.5
  • conversational
    pipeline_tag: text-generation

qwen3.5-2b-uncensored

Uncensored variant of Qwen/Qwen3.5-2B.

Method

  1. Abliteration (strength=0.2) — refusal direction removed from all layers
  2. LoRA fine-tune on Guilherme34/uncensor (2 epochs, r=16, alpha=32)
  3. Re-abliteration (strength=0.35) — stronger pass to remove residual refusals

Eval Results

Split Refused
Harmful (64 prompts) 0/64
Harmless (64 prompts) 0/64

Usage

llama-cli -m qwen3.5_2b_uncensored.Q4_K_M.gguf -p "Your prompt here"

Training Config

Parameter Value
Base Model Qwen/Qwen3.5-2B
Fine-tune Dataset Guilherme34/uncensor
Epochs 2
LoRA r 16
LoRA alpha 32
Learning Rate 0.0002
Abliteration Strength 0.2
Re-abliteration Strength 0.35

Credits

README history 1 version

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

  1. 2026-04-29Upload README.md with huggingface_hub4e2ce8f1.2 KB
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