Huihui Gemma 4 26B A4B It Qat Q4 0 Unquantized Abliterated I1 GGUF
For a convenient overview and download list, visit our model page for this model.
Source du modèle
- Type
- Other
- Taille du fichier
- 54,3 MB–15,6 GB
- Modèle de base
- huihui-ai/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated
- Version
- vRevision 4e82ce6
- Mis à jour
- 20 oct. 2026
- Éditeur
- @mradermacher
- Téléchargements
- 1,8 k
- Paramètres
- 26B
- Source
- Hugging Face
Description de la source
About
weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-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 | 0.2 | 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 |
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.
Sources
1 source
Sources
1 sourceVérifié 20 oct.
Artefacts du modèle
21 artefacts
Artefacts du modèle
21 artefactsHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ1_M.gguf
gguf · 8,07 GB · SHA-256 b73d53fbba46…8912 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ1_S.gguf
gguf · 7,72 GB · SHA-256 f17463afb262…6005 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_M.gguf
gguf · 9,67 GB · SHA-256 cd32558aa70e…782f · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_S.gguf
gguf · 9,20 GB · SHA-256 c7afeeefc8a4…07ea · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_XS.gguf
gguf · 9,14 GB · SHA-256 5eda2306e425…b421 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_XXS.gguf
gguf · 8,66 GB · SHA-256 d16f14fc24c5…a0eb · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_M.gguf
gguf · 11,5 GB · SHA-256 a2c2f354bd44…1622 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_S.gguf
gguf · 11,4 GB · SHA-256 a9efcec81958…6e5a · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_XS.gguf
gguf · 10,8 GB · SHA-256 a8430ec99ecb…78bc · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_XXS.gguf
gguf · 10,5 GB · SHA-256 62ee85d61c1d…9964 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ4_XS.gguf
gguf · 13,0 GB · SHA-256 e2986613ed9f…8143 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-Q2_K_S.gguf
gguf · 9,89 GB · SHA-256 5478f38c7de6…8086 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-Q2_K.gguf
gguf · 9,86 GB · SHA-256 4d80f312c2cf…ce89 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-Q3_K_L.gguf
gguf · 12,9 GB · SHA-256 420f1edb993a…3149 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-Q3_K_M.gguf
gguf · 12,4 GB · SHA-256 2cc8c9f1f985…7842 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-Q3_K_S.gguf
gguf · 11,4 GB · SHA-256 1359cbccdab5…d0a7 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-Q4_0.gguf
gguf · 13,5 GB · SHA-256 a48133323d82…c249 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-Q4_1.gguf
gguf · 14,9 GB · SHA-256 dbcbec9b7a6b…1cbe · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-Q4_K_M.gguf
gguf · 15,6 GB · SHA-256 7f603ac2546c…93c6 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-Q4_K_S.gguf
gguf · 14,4 GB · SHA-256 8e2463a1526f…9aa6 · Hugging Face
TéléchargerHuihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.imatrix.gguf
gguf · 54,3 MB · SHA-256 7151104ab018…ff5d · Hugging Face
TéléchargerExtraits de sources
3 extraits
Extraits de sources
3 extraits--- base_model: huihui-ai/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated language: - en library_name: transformers license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - abliterated - uncensored --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> <!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS IQ2_S IQ1_S Q4_0 IQ3_XS Q4_1 IQ3_S --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-i1-GGUF/resolve/main/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.imatrix.gguf) | imatrix | 0.2 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-i1-GGUF/resolve/main/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ1_S.gguf) | i1-IQ1_S | 8.4 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-i1-GGUF/resolve/main/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ1_M.gguf) | i1-IQ1_M | 8.8 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterat...
--- base_model: huihui-ai/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated language: - en library_name: transformers license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - abliterated - uncensored --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> <!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS IQ2_S IQ1_S Q4_0 IQ3_XS Q4_1 IQ3_S --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-GGUF).** ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-i1-GGUF/resolve/main/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.imatrix.gguf) | imatrix | 0.2 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-i1-GGUF/resolve/main/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated.i1-IQ1_S.gguf) | i1-IQ1_S | 8.4 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-i1-GGUF/resolve/main/Huihui-gemma-4-26B-A4B-i...
Source context: 1759 downloads · 4 likes · Library transformers · Repo mradermacher/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-i1-GGUF
