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

mradermacher/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated-i1-GGUF

mradermacher Qwen 35B GGUF MoE multimodal second-order 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/mradermacher%2FQwen3.6-35B-A3B-Abliterix-EGA-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 28,268
  • author_summary 3324 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
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=mradermacher (M8 quantization producer, never originator)
  • is_gguf=1
  • base_model='jenerallee78/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated' (base has 'abliterated' marker, assume M1 default)
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
28K
1K last 30d - cooling
Likes
3
Model age
5mo ago
created 2026-04-25
Downloads over time
Now28.6K→from0↑0%
010.5K21K31.5K0 on Apr 2228.6K on Oct 12AprMayJunJulAugSepOct
Apr 22 → Oct 12 · 65 snapshots · spans 173 days

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 · 2K downloads combined

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

Metadata

License
agpl-3.0
Languages
en zh
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliteration uncensored qwen3.6 qwen qwen-vl moe abliterix ega expert-granular-abliteration multimodal

Related

Total size
345 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-04-25 15:52

Files by quantization

Q6_K 1 file 26.6 GB
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q6_K.gguf 26.6 GB fd5dc7fd download
Q5_K 2 files 45.4 GB
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q5_K_M.gguf 23.0 GB 61c04781 download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q5_K_S.gguf 22.3 GB 2e49a67a download
Q4 2 files 38.8 GB
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q4_1.gguf 20.3 GB a68bc889 download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q4_0.gguf 18.4 GB c2140509 download
Q4_K 2 files 38.2 GB
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q4_K_M.gguf 19.7 GB b3140c48 download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q4_K_S.gguf 18.5 GB 8ed73960 download
IQ4 1 file 17.4 GB
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ4_XS.gguf 17.4 GB d40092ba download
Q3_K 3 files 46.6 GB
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q3_K_L.gguf 16.9 GB 7499f31d download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q3_K_M.gguf 15.6 GB 09578d86 download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q3_K_S.gguf 14.1 GB 76a6e01b download
IQ3 4 files 54.8 GB
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ3_M.gguf 14.4 GB 2813caeb download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ3_S.gguf 14.2 GB 1df65c92 download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ3_XS.gguf 13.5 GB 9c684456 download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ3_XXS.gguf 12.7 GB 94de34a6 download
Q2_K 2 files 23.4 GB
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q2_K.gguf 12.1 GB 431df8c6 download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-Q2_K_S.gguf 11.3 GB b368c2c6 download
IQ2 4 files 39.4 GB
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ2_M.gguf 10.9 GB e2a23e40 download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ2_S.gguf 9.92 GB 20b75953 download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ2_XS.gguf 9.79 GB 4c380655 download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ2_XXS.gguf 8.85 GB b6228f77 download
IQ1 2 files 14.6 GB
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ1_M.gguf 7.67 GB 75c451ec download
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.i1-IQ1_S.gguf 6.97 GB 5c31122a download
Auxiliary files 3 files 183 MB
Qwen3.6-35B-A3B-Abliterix-EGA-abliterated.imatrix.gguf 183 MB f1e21b7e download
README.md 7.13 KB 27637801 download
.gitattributes 3.65 KB 5f19fe9b download

README current version from Hugging Face


base_model: jenerallee78/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated
language:

  • en
  • zh
    library_name: transformers
    license: agpl-3.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliteration
  • uncensored
  • qwen3.6
  • qwen
  • qwen-vl
  • moe
  • abliterix
  • ega
  • expert-granular-abliteration
  • multimodal
  • vision
  • image-text-to-text
  • conversational

About

weighted/imatrix quants of https://huggingface.co/jenerallee78/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Qwen3.6-35B-A3B-Abliterix-EGA-abliterated-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs
for
more details, including on how to concatenate multi-part files.

Provided Quants

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

Link Type Size/GB Notes
GGUF imatrix 0.3 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 7.6 for the desperate
GGUF i1-IQ1_M 8.3 mostly desperate
GGUF i1-IQ2_XXS 9.6
GGUF i1-IQ2_XS 10.6
GGUF i1-IQ2_S 10.8
GGUF i1-IQ2_M 11.8
GGUF i1-Q2_K_S 12.3 very low quality
GGUF i1-Q2_K 13.0 IQ3_XXS probably better
GGUF i1-IQ3_XXS 13.7 lower quality
GGUF i1-IQ3_XS 14.6
GGUF i1-Q3_K_S 15.3 IQ3_XS probably better
GGUF i1-IQ3_S 15.4 beats Q3_K*
GGUF i1-IQ3_M 15.5
GGUF i1-Q3_K_M 16.9 IQ3_S probably better
GGUF i1-Q3_K_L 18.2 IQ3_M probably better
GGUF i1-IQ4_XS 18.8
GGUF i1-Q4_0 19.9 fast, low quality
GGUF i1-Q4_K_S 20.0 optimal size/speed/quality
GGUF i1-Q4_K_M 21.3 fast, recommended
GGUF i1-Q4_1 21.9
GGUF i1-Q5_K_S 24.1
GGUF i1-Q5_K_M 24.8
GGUF i1-Q6_K 28.6 practically like static Q6_K

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

image.png

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

README history 11 versions

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

  1. 2026-04-25auto-patch README.mdcef0caa7.1 KB
    Loading...
  2. 2026-04-25auto-patch README.mdbe225426.9 KB
    Loading...
  3. 2026-04-25auto-patch README.md528cc726.2 KB
    Loading...
  4. 2026-04-25auto-patch README.mdfcfa86d5.8 KB
    Loading...
  5. 2026-04-25auto-patch README.md140736b5.4 KB
    Loading...
  6. 2026-04-25auto-patch README.md12f0a2e4.8 KB
    Loading...
  7. 2026-04-25auto-patch README.mdbfc63d14.4 KB
    Loading...
  8. 2026-04-25auto-patch README.md1ed86fa3.9 KB
    Loading...
  9. 2026-04-25auto-patch README.mdb2a89343.2 KB
    Loading...
  10. 2026-04-25auto-patch README.mdfa10ee72.9 KB
    Loading...
  11. 2026-04-25uploaded from rich12378dc3500 B
    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