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

mradermacher/Gemma4_E2B_Abliterated_Baked_HF_Ready-i1-GGUF

mradermacher Gemma GGUF second-order 131K 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%2FGemma4_E2B_Abliterated_Baked_HF_Ready-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 17,445
  • author_summary 3328 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='amkkk/Gemma4_E2B_Abliterated_Baked_HF_Ready' (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
17K
1K last 30d - cooling
Likes
2
Model age
6mo ago
created 2026-04-15
Downloads over time
Now17.7K→from6.7K↑165%
6.1K10.3K14.6K18.8K6.7K on Apr 1517.7K on Oct 12AprMayJunJulAugSepOct
Apr 15 → Oct 12 · 66 snapshots · spans 180 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
gemma
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf gemma4 abliterated refusal-direction model-editing module-input-directions en base_model:amkkk/Gemma4_E2B_Abliterated_Baked_HF_Ready base_model:quantized:amkkk/Gemma4_E2B_Abliterated_Baked_HF_Ready license:gemma endpoints_compatible

Related

Total size
68.3 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-07 20:01

Files by quantization

Q6_K 1 file 3.57 GB
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q6_K.gguf 3.57 GB 0ea2a4ae download
Q5_K 2 files 6.70 GB
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q5_K_M.gguf 3.37 GB 265d94c6 download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q5_K_S.gguf 3.34 GB 0ddbe915 download
Q4 2 files 6.35 GB
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q4_1.gguf 3.23 GB a1a072aa download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q4_0.gguf 3.12 GB ed3e2cd9 download
Q4_K 2 files 6.31 GB
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q4_K_M.gguf 3.18 GB 201e37af download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q4_K_S.gguf 3.12 GB 26babbf3 download
IQ4 2 files 6.19 GB
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ4_NL.gguf 3.12 GB 23c9037c download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ4_XS.gguf 3.07 GB 98d3b359 download
Q3_K 3 files 8.91 GB
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q3_K_L.gguf 3.05 GB e4389342 download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q3_K_M.gguf 2.97 GB b59f8c42 download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q3_K_S.gguf 2.89 GB 4b9bdc41 download
IQ3 4 files 11.1 GB
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ3_M.gguf 2.91 GB a02af67f download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ3_S.gguf 2.89 GB 3e2ef7b6 download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ3_XS.gguf 2.85 GB 881a868e download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ3_XXS.gguf 2.47 GB 6b9d6413 download
Q2_K 2 files 5.50 GB
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q2_K.gguf 2.78 GB eab4be7b download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-Q2_K_S.gguf 2.72 GB 90e3fd99 download
IQ2 4 files 9.27 GB
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ2_M.gguf 2.38 GB da846313 download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ2_S.gguf 2.33 GB 2f80e1fd download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ2_XS.gguf 2.31 GB e2654b51 download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ2_XXS.gguf 2.25 GB a20b8bcb download
IQ1 2 files 4.35 GB
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ1_M.gguf 2.19 GB 6b820688 download
Gemma4_E2B_Abliterated_Baked_HF_Ready.i1-IQ1_S.gguf 2.16 GB 16722304 download
Auxiliary files 3 files 2.70 MB
Gemma4_E2B_Abliterated_Baked_HF_Ready.imatrix.gguf 2.69 MB 23208463 download
README.md 7.16 KB 5377f0d5 download
.gitattributes 3.64 KB 4b6046ab download

README current version from Hugging Face


base_model: amkkk/Gemma4_E2B_Abliterated_Baked_HF_Ready
language:

  • en
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • gemma4
  • abliterated
  • refusal-direction
  • model-editing
  • module-input-directions

About

weighted/imatrix quants of https://huggingface.co/amkkk/Gemma4_E2B_Abliterated_Baked_HF_Ready

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

static quants are available at https://huggingface.co/mradermacher/Gemma4_E2B_Abliterated_Baked_HF_Ready-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 2.4 for the desperate
GGUF i1-IQ1_M 2.5 mostly desperate
GGUF i1-IQ2_XXS 2.5
GGUF i1-IQ2_XS 2.6
GGUF i1-IQ2_S 2.6
GGUF i1-IQ2_M 2.7
GGUF i1-IQ3_XXS 2.7 lower quality
GGUF i1-Q2_K_S 3.0 very low quality
GGUF i1-Q2_K 3.1 IQ3_XXS probably better
GGUF i1-IQ3_XS 3.2
GGUF i1-Q3_K_S 3.2 IQ3_XS probably better
GGUF i1-IQ3_S 3.2 beats Q3_K*
GGUF i1-IQ3_M 3.2
GGUF i1-Q3_K_M 3.3 IQ3_S probably better
GGUF i1-Q3_K_L 3.4 IQ3_M probably better
GGUF i1-IQ4_XS 3.4
GGUF i1-IQ4_NL 3.5 prefer IQ4_XS
GGUF i1-Q4_0 3.5 fast, low quality
GGUF i1-Q4_K_S 3.5 optimal size/speed/quality
GGUF i1-Q4_K_M 3.5 fast, recommended
GGUF i1-Q4_1 3.6
GGUF i1-Q5_K_S 3.7
GGUF i1-Q5_K_M 3.7
GGUF i1-Q6_K 3.9 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 6 versions

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

  1. 2026-07-07auto-patch README.mdc56d3ab7.2 KB
    Loading...
  2. 2026-06-30auto-patch README.md912d8b67 KB
    Loading...
  3. 2026-04-19auto-patch README.mdd1519557.2 KB
    Loading...
  4. 2026-04-18auto-patch README.md131d2e87 KB
    Loading...
  5. 2026-04-15auto-patch README.md566c1e97.2 KB
    Loading...
  6. 2026-04-15uploaded from nico17aac590489 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