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anlord/Qwen3.5-0.8B-Abliterated

anlord Qwen 752M
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Response includes
  • classification m1
  • files 8
  • benchmarks 11 entries
  • hub_downloads_all_time 230
  • author_summary 9 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
230
54 last 30d - stable
Likes
0
Model age
6w ago
created 2026-09-15
Downloads over time
Now292→from0↑0%
01072143210 on Sep 15292 on Oct 31SepOct
Sep 15 → Oct 31 · 47 snapshots · spans 46 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 UGI
Hazardous 1.2 UGI
Natural Intelligence 4.68 UGI
Political lean -5.3% UGI
Sensitive-Info 7.29 UGI
SocPol 0 UGI
UGI 16.53 UGI
Willingness (10) 3.5 UGI
W10-Adherence 4 UGI
W10-Direct 3 UGI
Writing 23.01 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 · 263 downloads combined

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

Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_5_text text-generation qwen3.5 qwen abliterated uncensored conversational base_model:Qwen/Qwen3.5-0.8B base_model:finetune:Qwen/Qwen3.5-0.8B license:apache-2.0

Related

Total size
1.40 GB
Files
8
Quantizations
1
Registered
2026-09-15 05:56
Last updated on HF
2026-09-15 05:08

Files by quantization

Auxiliary files 8 files 1.42 GB
model.safetensors 1.40 GB 4028d0bc download
tokenizer.json 19.1 MB 6f32ce20 download
chat_template.jinja 7.72 KB cd794859 download
README.md 2.81 KB f180dcb0 download
config.json 1.82 KB 69907200 download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.13 KB ab901d8d download
generation_config.json 122 B de582476 download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3.5-0.8B
tags:

  • qwen3.5
  • qwen
  • abliterated
  • uncensored
  • transformers
  • safetensors
    pipeline_tag: text-generation

Qwen3.5-0.8B-Abliterated

An abliterated version of Qwen/Qwen3.5-0.8B, created using AnlordAbliterator.

The model is provided in the original Hugging Face Transformers / Safetensors format and can be used directly with compatible Transformers-based tooling.

Model

Base model: Qwen/Qwen3.5-0.8B

Format: Safetensors

Parameters: ~0.8B

Abliteration tool: AnlordAbliterator

Abliteration Results

The model was processed with the default AnlordAbliterator pipeline.

Metric Before After
Refusals 97 / 100 18 / 100
KL divergence 0 0.0342

Abliteration log

============================================================
       ANLORD ABLITERATOR
============================================================

Model: Qwen/Qwen3.5-0.8B
Status: SUCCESS

Abliteration:
  Initial refusals: 97
  Final refusals:   18
  KL divergence:    0.0342

Note: refusal rate and KL divergence are measurements from the AnlordAbliterator evaluation pipeline and should be treated as evaluation results rather than a guarantee of model behavior on all prompts.

Usage

Transformers

from transformers import AutoProcessor, AutoModelForImageTextToText

model_id = "anlord/Qwen3.5-0.8B-Abliterated"

processor = AutoProcessor.from_pretrained(model_id)
model = AutoModelForImageTextToText.from_pretrained(
    model_id,
    device_map="auto"
)

Use the model with the same general workflow as the original Qwen3.5-0.8B model.

Related Repositories

GGUF versions

All available GGUF quantizations are available here:

anlord/Qwen3.5-0.8B-Abliterated-GGUF

Available quantizations:

  • BF16
  • F16
  • Q8_0
  • Q6_K
  • Q5_K_M
  • Q5_0
  • Q4_K_M
  • Q4_0

Abliteration Tool

The model was created using:

AnlordAbliterator

Base Model & License

This model is derived from Qwen/Qwen3.5-0.8B.

The original Qwen3.5-0.8B model is released under the Apache License 2.0.

Please refer to the original model repository and included LICENSE file for the applicable license terms.

Original model: https://huggingface.co/Qwen/Qwen3.5-0.8B

Disclaimer

This is an abliterated derivative of the original Qwen3.5-0.8B model.

Abliteration changes the model's refusal behavior and may also affect other aspects of its behavior. Use the model responsibly and evaluate it for your intended use case.

README history 2 versions

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

  1. 2026-09-15Update README.mdd8723772.8 KB
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  2. 2026-09-15initial commit093114128 B
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