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For a convenient overview and download list, visit our model page for this model.
Modellquelle
Quellenbeschreibung
weighted/imatrix quants of https://huggingface.co/mykor/supergemma4-26b-abliterated-multimodal
For a convenient overview and download list, visit our model page for this model.
static quants are available at
Quellen
1 QuelleVerifiziert 9. Aug.
Modellartefakte
24 Artefaktesupergemma4-26b-abliterated-multimodal.i1-IQ1_M.gguf
gguf · 8,07 GB · SHA-256 37cf4a50886a…01c2 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-IQ1_S.gguf
gguf · 7,72 GB · SHA-256 c5e1f6a94a5b…e2a8 · Hugging Face
HerunterladenQuellenauszüge
3 AuszügeThis is a vision model - mmproj files (if any) will be in the static repository.
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.
(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 |
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
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
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.
supergemma4-26b-abliterated-multimodal.i1-IQ2_M.gguf
gguf · 9,67 GB · SHA-256 9abe40cebfe5…3b63 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-IQ2_S.gguf
gguf · 9,20 GB · SHA-256 a38d4f196e29…3a27 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-IQ2_XS.gguf
gguf · 9,14 GB · SHA-256 4c63e500e76c…7d22 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-IQ2_XXS.gguf
gguf · 8,66 GB · SHA-256 33f0d62ab2fd…e86c · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-IQ3_M.gguf
gguf · 11,5 GB · SHA-256 e334ea4c9395…dc07 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-IQ3_S.gguf
gguf · 11,4 GB · SHA-256 04c2fb694bb2…a7f5 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-IQ3_XS.gguf
gguf · 10,8 GB · SHA-256 c2402347d7ef…4fe7 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-IQ3_XXS.gguf
gguf · 10,5 GB · SHA-256 8f3543a277c3…de04 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-IQ4_XS.gguf
gguf · 13,0 GB · SHA-256 34dd5012e9b6…de3b · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q2_K_S.gguf
gguf · 9,89 GB · SHA-256 0fe9f5b696ee…a78b · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q2_K.gguf
gguf · 9,86 GB · SHA-256 b85e0ee63ec0…f3d2 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q3_K_L.gguf
gguf · 12,9 GB · SHA-256 5843ff6430e2…76ae · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q3_K_M.gguf
gguf · 12,4 GB · SHA-256 b678149452ab…ec20 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q3_K_S.gguf
gguf · 11,4 GB · SHA-256 813bc308e97b…7f4a · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q4_0.gguf
gguf · 13,5 GB · SHA-256 a86d8393fdeb…4563 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q4_1.gguf
gguf · 14,9 GB · SHA-256 ef2fbff0f08c…53b4 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q4_K_M.gguf
gguf · 15,6 GB · SHA-256 a8747ca72feb…79b2 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q4_K_S.gguf
gguf · 14,4 GB · SHA-256 a21dce46e807…0538 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q5_K_M.gguf
gguf · 17,8 GB · SHA-256 956ef5ee6a5a…ddfd · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q5_K_S.gguf
gguf · 16,8 GB · SHA-256 41b27fd7996e…136c · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.i1-Q6_K.gguf
gguf · 21,1 GB · SHA-256 bd075fa7278c…8c16 · Hugging Face
Herunterladensupergemma4-26b-abliterated-multimodal.imatrix.gguf
gguf · 54,3 MB · SHA-256 cfb4c3b37f85…553e · Hugging Face
Herunterladen--- base_model: mykor/supergemma4-26b-abliterated-multimodal language: - en - ko library_name: transformers license: gemma mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - abliterated --- ## 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 Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> weighted/imatrix quants of https://huggingface.co/mykor/supergemma4-26b-abliterated-multimodal <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#supergemma4-26b-abliterated-multimodal-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/supergemma4-26b-abliterated-multimodal-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/supergemma4-26b-abliterated-multimodal-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/supergemma4-26b-abliterated-multimodal-i1-GGUF/resolve/main/supergemma4-26b-abliterated-multimodal.imatrix.gguf) | imatrix | 0.2 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/supergemma4-26b-abliterated-multimodal-i1-GGUF/resolve/main/supergemma4-26b-abliterated-multimodal.i1-IQ1_S.gguf) | i1-IQ1_S | 8.4 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/supergemma4-26b-abliterated-multimodal-i1-GGUF/resolve/main/supergemma4-26b-abliterated-multimodal.i1-IQ1_M.gguf) | i1-IQ1_M | 8.8 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/supergemma4-26b-abliterated-multimodal-i1-GGUF/resolve/main/supergemma4-26b-abliterated-multimodal.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.4 | | | [GGUF](http...
Source context: 247 downloads · 1 likes · Library transformers · Repo mradermacher/supergemma4-26b-abliterated-multimodal-i1-GGUF
Source context: 528 downloads · 1 likes · Library transformers · Repo mradermacher/supergemma4-26b-abliterated-multimodal-i1-GGUF
| 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 |
