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mradermacher/Gemma4_E2B_Abliterated_Opus_Distilled-i1-GGUF

mradermacher Gemma GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 3,088
  • author_summary 3324 models
  • readme_text full
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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
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='sketchy888/Gemma4_E2B_Abliterated_Opus_Distilled' (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.

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Downloads · lifetime
3K
2K last 30d - active
Likes
1
Model age
2mo ago
created 2026-07-24
Downloads over time
Now3.5K→from319↑986%
01.3K2.5K3.8K319 on Jul 223.5K on Oct 12JulAugSepOct
Jul 22 → Oct 12 · 54 snapshots · spans 82 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 · 3K 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 step2 opus-distill abliterated lora reasoning en base_model:sketchy888/Gemma4_E2B_Abliterated_Opus_Distilled base_model:adapter:sketchy888/Gemma4_E2B_Abliterated_Opus_Distilled license:gemma

Related

Total size
68.3 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-24 07:29

Files by quantization

Q6_K 1 file 3.57 GB
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q6_K.gguf 3.57 GB 78937cc4 download
Q5_K 2 files 6.70 GB
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q5_K_M.gguf 3.37 GB 706696b1 download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q5_K_S.gguf 3.34 GB 4d6f5b4e download
Q4 2 files 6.35 GB
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q4_1.gguf 3.23 GB b6e962bb download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q4_0.gguf 3.12 GB ab41b8e9 download
Q4_K 2 files 6.31 GB
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q4_K_M.gguf 3.18 GB 15060dc9 download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q4_K_S.gguf 3.12 GB 36f4ac33 download
IQ4 2 files 6.19 GB
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ4_NL.gguf 3.12 GB a56a3cd6 download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ4_XS.gguf 3.07 GB 1211723a download
Q3_K 3 files 8.91 GB
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q3_K_L.gguf 3.05 GB 4fe6c50c download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q3_K_M.gguf 2.97 GB 786b5f87 download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q3_K_S.gguf 2.89 GB fc83b81b download
IQ3 4 files 11.1 GB
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ3_M.gguf 2.91 GB cfe36d86 download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ3_S.gguf 2.89 GB cc1711cd download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ3_XS.gguf 2.85 GB 965592e8 download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ3_XXS.gguf 2.47 GB 90a3a16a download
Q2_K 2 files 5.50 GB
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q2_K.gguf 2.78 GB ed65aefe download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-Q2_K_S.gguf 2.72 GB b8c0c9e3 download
IQ2 4 files 9.27 GB
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ2_M.gguf 2.38 GB 9518a22b download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ2_S.gguf 2.33 GB 9c7600c7 download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ2_XS.gguf 2.31 GB a4d1f29e download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ2_XXS.gguf 2.25 GB d3eb671a download
IQ1 2 files 4.35 GB
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ1_M.gguf 2.19 GB c25fd6b2 download
Gemma4_E2B_Abliterated_Opus_Distilled.i1-IQ1_S.gguf 2.16 GB 69de9e2c download
Auxiliary files 3 files 2.70 MB
Gemma4_E2B_Abliterated_Opus_Distilled.imatrix.gguf 2.69 MB df2e6fd4 download
README.md 7.15 KB f2b81c4b download
.gitattributes 3.64 KB f4b463be download

README current version from Hugging Face


base_model: sketchy888/Gemma4_E2B_Abliterated_Opus_Distilled
language:

  • en
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • gemma4
  • step2
  • opus-distill
  • abliterated
  • lora
  • reasoning

About

weighted/imatrix quants of https://huggingface.co/sketchy888/Gemma4_E2B_Abliterated_Opus_Distilled

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_Opus_Distilled-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 2 versions

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

  1. 2026-07-24auto-patch README.md681b8e47.1 KB
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  2. 2026-07-24uploaded from nico16fd4d31494 B
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