← back to catalog · registered 2026-08-22 13:56

prithivMLmods/Qwen3.5-abliterated-MAX-AIO-GGUF

prithivMLmods Qwen GGUF multimodal 262K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/prithivMLmods%2FQwen3.5-abliterated-MAX-AIO-GGUF"
Response includes
  • classification m8
  • files 3
  • benchmarks 11 entries
  • hub_downloads_all_time 29,897
  • author_summary 98 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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
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
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
30K
5K last 30d - stable
Likes
6
Model age
7mo ago
created 2026-03-07
Downloads over time
Now31.8K→from5K↑530%
3.7K13.9K24.2K34.4K5K on Mar 1131.8K on Oct 12MarAprMayJunJulAugSepOct
Mar 11 → Oct 12 · 72 snapshots · spans 215 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 2.4 UGI
Natural Intelligence 17.62 UGI
Political lean -12.2% UGI
Sensitive-Info 14.65 UGI
SocPol 0.9 UGI
UGI 17.27 UGI
Willingness (10) 2.2 UGI
W10-Adherence 1.5 UGI
W10-Direct 3 UGI
Writing 33.52 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.

Metadata

License
apache-2.0
Languages
en
Tags
transformers gguf qwen3_5 text-generation-inference llama.cpp abliterated AIO alignment-modified image-text-to-text en base_model:Qwen/Qwen3.5-9B base_model:quantized:Qwen/Qwen3.5-9B

Related

Total size
0 B
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-03-11 02:35

Files by quantization

Auxiliary files 3 files 17.1 KB
README.md 12.2 KB 5e8e7d26 download
.gitattributes 4.83 KB 01b30e37 download
config.json 32.0 B eaae7140 download

README current version from Hugging Face


license: apache-2.0
language:

  • en
    base_model:
  • Qwen/Qwen3.5-9B
    pipeline_tag: image-text-to-text
    library_name: transformers
    tags:
  • text-generation-inference
  • llama.cpp
  • abliterated
  • AIO
  • alignment-modified

Qwen3.5-abliterated-MAX-AIO-GGUF

prithivMLmods/Qwen3.5 Unredacted-MAX models (0.8B, 2B, 4B, 9B, 27B variants) are experimental "abliterated" evolution of Alibaba's official Qwen3.5 series, applying advanced refusal-minimization techniques to remove safety alignments and internal censorship patterns while preserving or enhancing core reasoning, coding, math, and multimodal capabilities across scales. Created by prithivMLmods as part of their "Unredacted MAX" collection—similar to their Qwen3-VL abliterated releases like Qwen3-VL-8B-Instruct-Unredacted-MAX—these models undergo continual "abliteration" training for unrestricted instruction adherence, dense output generation, and reduced hallucinations on diverse prompts without standard safety refusals, making them suitable for edge deployment (FP8/GGUF quants available) in research, dataset creation, or applications needing uncensored reasoning. Scaling from ultra-light 0.8B (mobile/Pi) to powerful 27B, they retain Qwen3.5's hybrid Gated DeltaNet architecture, 262K context, 201-language vocab, and toggleable thinking modes while prioritizing raw capability over guardrails, outperforming vanilla counterparts in open-ended tasks per community benchmarks though lacking official evaluations.

Open this to view the entire directory.
prithivMLmods/Qwen3.5-abliterated-MAX-AIO-GGUF (main)
+-- README.md (9.9 KB)
+-- .gitattributes (4.8 KB)
+-- config.json (32 B)
+-- Qwen3.5-0.8B-Unredacted-MAX-GGUF
|   +-- Qwen3.5-0.8B-Unredacted-MAX.F32.gguf (2.8 GB)
|   +-- Qwen3.5-0.8B-Unredacted-MAX.BF16.gguf (1.4 GB)
|   +-- Qwen3.5-0.8B-Unredacted-MAX.F16.gguf (1.4 GB)
|   +-- Qwen3.5-0.8B-Unredacted-MAX.Q8_0.gguf (774.2 MB)
|   +-- Qwen3.5-0.8B-Unredacted-MAX.mmproj-f32.gguf (383.7 MB)
|   +-- Qwen3.5-0.8B-Unredacted-MAX.mmproj-bf16.gguf (197.7 MB)
|   +-- Qwen3.5-0.8B-Unredacted-MAX.mmproj-f16.gguf (197.7 MB)
|   +-- Qwen3.5-0.8B-Unredacted-MAX.mmproj-q8_0.gguf (110.6 MB)
+-- Qwen3.5-2B-Unredacted-MAX-GGUF
|   +-- Qwen3.5-2B-Unredacted-MAX.F32.gguf (7.0 GB)
|   +-- Qwen3.5-2B-Unredacted-MAX.BF16.gguf (3.5 GB)
|   +-- Qwen3.5-2B-Unredacted-MAX.F16.gguf (3.5 GB)
|   +-- Qwen3.5-2B-Unredacted-MAX.Q8_0.gguf (1.9 GB)
|   +-- Qwen3.5-2B-Unredacted-MAX.mmproj-f32.gguf (1.2 GB)
|   +-- Qwen3.5-2B-Unredacted-MAX.mmproj-bf16.gguf (640.3 MB)
|   +-- Qwen3.5-2B-Unredacted-MAX.mmproj-f16.gguf (640.3 MB)
|   +-- Qwen3.5-2B-Unredacted-MAX.mmproj-q8_0.gguf (347.8 MB)
+-- Qwen3.5-4B-Unredacted-MAX-GGUF
|   +-- Qwen3.5-4B-Unredacted-MAX.F32.gguf (15.7 GB)
|   +-- Qwen3.5-4B-Unredacted-MAX.BF16.gguf (7.8 GB)
|   +-- Qwen3.5-4B-Unredacted-MAX.F16.gguf (7.8 GB)
|   +-- Qwen3.5-4B-Unredacted-MAX.Q8_0.gguf (4.2 GB)
|   +-- Qwen3.5-4B-Unredacted-MAX.mmproj-f32.gguf (1.2 GB)
|   +-- Qwen3.5-4B-Unredacted-MAX.mmproj-bf16.gguf (644.3 MB)
|   +-- Qwen3.5-4B-Unredacted-MAX.mmproj-f16.gguf (644.3 MB)
|   +-- Qwen3.5-4B-Unredacted-MAX.mmproj-q8_0.gguf (349.9 MB)
+-- Qwen3.5-9B-Unredacted-MAX-GGUF
    +-- Qwen3.5-9B-Unredacted-MAX.F32.gguf (33.4 GB)
    +-- Qwen3.5-9B-Unredacted-MAX.BF16.gguf (16.7 GB)
    +-- Qwen3.5-9B-Unredacted-MAX.F16.gguf (16.7 GB)
    +-- Qwen3.5-9B-Unredacted-MAX.Q8_0.gguf (8.9 GB)
    +-- Qwen3.5-9B-Unredacted-MAX.mmproj-f32.gguf (1.7 GB)
    +-- Qwen3.5-9B-Unredacted-MAX.mmproj-bf16.gguf (879.0 MB)
    +-- Qwen3.5-9B-Unredacted-MAX.mmproj-f16.gguf (879.0 MB)
    +-- Qwen3.5-9B-Unredacted-MAX.mmproj-q8_0.gguf (595.3 MB)

Model List

Model Variant Model Page
0.8B Qwen3.5-0.8B-Unredacted-MAX
2B Qwen3.5-2B-Unredacted-MAX
4B Qwen3.5-4B-Unredacted-MAX
9B Qwen3.5-9B-Unredacted-MAX
27B Qwen3.5-27B-Unredacted-MAX

Qwen3.5-0.8B-Unredacted-MAX

File Name Quant Type File Size File Link
Qwen3.5-0.8B-Unredacted-MAX.BF16.gguf BF16 1.52 GB Download
Qwen3.5-0.8B-Unredacted-MAX.F16.gguf F16 1.52 GB Download
Qwen3.5-0.8B-Unredacted-MAX.F32.gguf F32 3.02 GB Download
Qwen3.5-0.8B-Unredacted-MAX.Q8_0.gguf Q8_0 812 MB Download
Qwen3.5-0.8B-Unredacted-MAX.mmproj-bf16.gguf mmproj-bf16 207 MB Download
Qwen3.5-0.8B-Unredacted-MAX.mmproj-f16.gguf mmproj-f16 207 MB Download
Qwen3.5-0.8B-Unredacted-MAX.mmproj-f32.gguf mmproj-f32 402 MB Download
Qwen3.5-0.8B-Unredacted-MAX.mmproj-q8_0.gguf mmproj-q8_0 116 MB Download

Qwen3.5-2B-Unredacted-MAX

File Name Quant Type File Size File Link
Qwen3.5-2B-Unredacted-MAX.BF16.gguf BF16 3.78 GB Download
Qwen3.5-2B-Unredacted-MAX.F16.gguf F16 3.78 GB Download
Qwen3.5-2B-Unredacted-MAX.F32.gguf F32 7.54 GB Download
Qwen3.5-2B-Unredacted-MAX.Q8_0.gguf Q8_0 2.01 GB Download
Qwen3.5-2B-Unredacted-MAX.mmproj-bf16.gguf mmproj-bf16 671 MB Download
Qwen3.5-2B-Unredacted-MAX.mmproj-f16.gguf mmproj-f16 671 MB Download
Qwen3.5-2B-Unredacted-MAX.mmproj-f32.gguf mmproj-f32 1.33 GB Download
Qwen3.5-2B-Unredacted-MAX.mmproj-q8_0.gguf mmproj-q8_0 365 MB Download

Qwen3.5-4B-Unredacted-MAX

File Name Quant Type File Size File Link
Qwen3.5-4B-Unredacted-MAX.BF16.gguf BF16 8.42 GB Download
Qwen3.5-4B-Unredacted-MAX.F16.gguf F16 8.42 GB Download
Qwen3.5-4B-Unredacted-MAX.F32.gguf F32 16.8 GB Download
Qwen3.5-4B-Unredacted-MAX.Q8_0.gguf Q8_0 4.48 GB Download
Qwen3.5-4B-Unredacted-MAX.mmproj-bf16.gguf mmproj-bf16 676 MB Download
Qwen3.5-4B-Unredacted-MAX.mmproj-f16.gguf mmproj-f16 676 MB Download
Qwen3.5-4B-Unredacted-MAX.mmproj-f32.gguf mmproj-f32 1.33 GB Download
Qwen3.5-4B-Unredacted-MAX.mmproj-q8_0.gguf mmproj-q8_0 367 MB Download

Qwen3.5-9B-Unredacted-MAX

File Name Quant Type File Size File Link
Qwen3.5-9B-Unredacted-MAX.BF16.gguf BF16 17.9 GB Download
Qwen3.5-9B-Unredacted-MAX.F16.gguf F16 17.9 GB Download
Qwen3.5-9B-Unredacted-MAX.F32.gguf F32 35.8 GB Download
Qwen3.5-9B-Unredacted-MAX.Q8_0.gguf Q8_0 9.53 GB Download
Qwen3.5-9B-Unredacted-MAX.mmproj-bf16.gguf mmproj-bf16 922 MB Download
Qwen3.5-9B-Unredacted-MAX.mmproj-f16.gguf mmproj-f16 922 MB Download
Qwen3.5-9B-Unredacted-MAX.mmproj-f32.gguf mmproj-f32 1.82 GB Download
Qwen3.5-9B-Unredacted-MAX.mmproj-q8_0.gguf mmproj-q8_0 624 MB Download

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

image.png

README history 15 versions

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

  1. 2026-03-11Update README.mdede22bf12.2 KB
    Loading...
  2. 2026-03-10Update README.mdfce0e0d12.2 KB
    Loading...
  3. 2026-03-09Update README.md4b6344712.2 KB
    Loading...
  4. 2026-03-09Update README.md8a8b49e9.9 KB
    Loading...
  5. 2026-03-09Update README.mdfb730608 KB
    Loading...
  6. 2026-03-09Update README.mddae3a8f7.4 KB
    Loading...
  7. 2026-03-09Update README.md54e0c3e7.5 KB
    Loading...
  8. 2026-03-09Update README.mdb60a6427.6 KB
    Loading...
  9. 2026-03-09Update README.mdc833b037.6 KB
    Loading...
  10. 2026-03-09Update README.md1f02f5d7.6 KB
    Loading...
  11. 2026-03-09Update README.md7037d557.6 KB
    Loading...
  12. 2026-03-09Update README.md0df1dea6.3 KB
    Loading...
  13. 2026-03-09Update README.mdc8e940b6 KB
    Loading...
  14. 2026-03-09Update README.mdefa42155.7 KB
    Loading...
  15. 2026-03-07initial commitd98456d28 B
    Loading...

Discussions 6 threads

  1. 2026-08-30PRUpdate metadata (general.name, general.finetune)closed1 💬#6
    Loading...
  2. 2026-08-30PRRename Qwen3.5-4B-Unredacted-MAX-GGUF/Qwen3.5-4B-Unredacted-MAX.Q8_0.gguf to Qw…closed1 💬#5
    Loading...
  3. 2026-08-30PRUpdate metadata (general.name, general.finetune)closed1 💬#4
    Loading...
  4. 2026-08-30PRUpdate metadata (general.name, general.finetune)closed1 💬#3
    Loading...
  5. 2026-08-30PRUpdate metadata (general.name, general.finetune)closed1 💬#2
    Loading...
  6. 2026-08-30PRUpdate metadata (general.name, general.finetune)closed2 💬#1
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration