← back to catalog · registered 2026-09-27 22:57

Riyan200324200324/gemma-4-26B-A4B-uncensored-GGUF

Riyan200324200324 Gemma 26B GGUF MoE second-order
curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/Riyan200324200324%2Fgemma-4-26B-A4B-uncensored-GGUF"
Response includes
  • classification m-uncensored
  • files 26
  • author_summary 11 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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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created 2026-09-27
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Metadata

License
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf heretic uncensored decensored abliterated ara en base_model:llmfan46/gemma-4-26B-A4B-it-ultra-uncensored-heretic base_model:quantized:llmfan46/gemma-4-26B-A4B-it-ultra-uncensored-heretic license:apache-2.0 endpoints_compatible

Related

Total size
280 GB
Files
26
Quantizations
11
Registered
2026-09-27 22:57
Last updated on HF
2026-09-27 22:54

Files by quantization

Q6_K 1 file 21.1 GB
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q6_K.gguf 21.1 GB e365decf download
Q5_K 2 files 34.6 GB
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q5_K_M.gguf 17.8 GB 0166ed4b download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q5_K_S.gguf 16.8 GB dcad46c7 download
Q4_K 2 files 30.0 GB
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q4_K_M.gguf 15.6 GB 4f73afa4 download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q4_K_S.gguf 14.4 GB a9b3bf0d download
Q4 2 files 28.4 GB
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q4_1.gguf 14.9 GB 595638ff download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q4_0.gguf 13.5 GB c8b0f5b0 download
IQ4 1 file 13.0 GB
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-IQ4_XS.gguf 13.0 GB e2f22377 download
Q3_K 3 files 36.6 GB
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q3_K_L.gguf 12.9 GB 28617103 download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q3_K_M.gguf 12.4 GB 7d92b81a download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q3_K_S.gguf 11.4 GB deae40be download
IQ3 4 files 44.3 GB
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-IQ3_M.gguf 11.5 GB 4b8c0b9d download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-IQ3_S.gguf 11.4 GB b7c13509 download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-IQ3_XS.gguf 10.8 GB af80ec17 download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-IQ3_XXS.gguf 10.5 GB 2af74e22 download
Q2_K 2 files 19.8 GB
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q2_K_S.gguf 9.89 GB ba6d806b download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-Q2_K.gguf 9.86 GB 2435ecbc download
IQ2 4 files 36.7 GB
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-IQ2_M.gguf 9.66 GB 200ebc94 download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-IQ2_S.gguf 9.20 GB 5f2fe13b download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-IQ2_XS.gguf 9.14 GB bae4c980 download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-IQ2_XXS.gguf 8.66 GB 178c06c6 download
IQ1 2 files 15.8 GB
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-IQ1_M.gguf 8.07 GB ea4fe2ec download
gemma-4-26B-A4B-it-ultra-uncensored-heretic.i1-IQ1_S.gguf 7.72 GB db9f0913 download
Auxiliary files 3 files 54.3 MB
gemma-4-26B-A4B-it-ultra-uncensored-heretic.imatrix.gguf 54.3 MB 8d1373a2 download
README.md 7.34 KB c9295104 download
.gitattributes 3.70 KB f263266e download

README current version from Hugging Face


base_model: llmfan46/gemma-4-26B-A4B-it-ultra-uncensored-heretic
language:


About

weighted/imatrix quants of https://huggingface.co/llmfan46/gemma-4-26B-A4B-it-ultra-uncensored-heretic

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

static quants are available at https://huggingface.co/mradermacher/gemma-4-26B-A4B-it-ultra-uncensored-heretic-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 0.2 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 8.4 for the desperate
GGUF i1-IQ1_M 8.8 mostly desperate
GGUF i1-IQ2_XXS 9.4
GGUF i1-IQ2_XS 9.9
GGUF i1-IQ2_S 10.0
GGUF i1-IQ2_M 10.5
GGUF i1-Q2_K 10.7 IQ3_XXS probably better
GGUF i1-Q2_K_S 10.7 very low quality
GGUF i1-IQ3_XXS 11.4 lower quality
GGUF i1-IQ3_XS 11.7
GGUF i1-IQ3_S 12.3 beats Q3_K*
GGUF i1-Q3_K_S 12.3 IQ3_XS probably better
GGUF i1-IQ3_M 12.5
GGUF i1-Q3_K_M 13.4 IQ3_S probably better
GGUF i1-Q3_K_L 13.9 IQ3_M probably better
GGUF i1-IQ4_XS 14.0
GGUF i1-Q4_0 14.6 fast, low quality
GGUF i1-Q4_K_S 15.6 optimal size/speed/quality
GGUF i1-Q4_1 16.1
GGUF i1-Q4_K_M 16.9 fast, recommended
GGUF i1-Q5_K_S 18.1
GGUF i1-Q5_K_M 19.2
GGUF i1-Q6_K 22.7 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.

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