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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/llmfan46/Gemma-4-Queen-31B-it-uncensored-heretic
For a convenient overview and download list, visit our model page for this model.
static quants are available at
Quellen
1 QuelleVerifiziert 26. Sept.
Modellartefakte
24 ArtefakteGemma-4-Queen-31B-it-uncensored-heretic.i1-IQ1_M.gguf
gguf · 7,20 GB · SHA-256 9dd190bf49d4…6149 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-IQ1_S.gguf
gguf · 6,67 GB · SHA-256 8d520f9e4088…a187 · Hugging Face
HerunterladenQuellenauszüge
2 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 | 0.1 | imatrix file (for creating your own quants) |
| GGUF | i1-IQ1_S | 7.3 | for the desperate |
| GGUF | i1-IQ1_M | 7.8 | mostly desperate |
| GGUF | i1-IQ2_XXS | 8.8 |
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.
Gemma-4-Queen-31B-it-uncensored-heretic.i1-IQ2_M.gguf
gguf · 10,2 GB · SHA-256 52ba4758f17b…6c1e · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-IQ2_S.gguf
gguf · 9,46 GB · SHA-256 1f8148f704d3…e2ca · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-IQ2_XS.gguf
gguf · 8,88 GB · SHA-256 ba787da0451e…dab7 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-IQ2_XXS.gguf
gguf · 8,08 GB · SHA-256 8c9acd8d4871…07e9 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-IQ3_M.gguf
gguf · 13,4 GB · SHA-256 b2cae3a091ba…a259 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-IQ3_S.gguf
gguf · 12,8 GB · SHA-256 8647cddda61b…e2fb · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-IQ3_XS.gguf
gguf · 12,2 GB · SHA-256 fbb8fbf11361…ea49 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-IQ3_XXS.gguf
gguf · 11,2 GB · SHA-256 558d77e378b7…3862 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-IQ4_XS.gguf
gguf · 15,6 GB · SHA-256 0753f91658dc…ea0c · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q2_K_S.gguf
gguf · 10,2 GB · SHA-256 be5dee684df3…849f · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q2_K.gguf
gguf · 11,1 GB · SHA-256 8e0fc3f8f5c1…1230 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q3_K_L.gguf
gguf · 15,5 GB · SHA-256 dd2d1d8b15bc…d6b2 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q3_K_M.gguf
gguf · 14,2 GB · SHA-256 52e0d88f2167…8448 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q3_K_S.gguf
gguf · 12,8 GB · SHA-256 faf23b870a91…a2ac · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q4_0.gguf
gguf · 16,5 GB · SHA-256 cf150dfd006f…4064 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q4_1.gguf
gguf · 18,1 GB · SHA-256 cccac1a0554e…1be2 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q4_K_M.gguf
gguf · 17,4 GB · SHA-256 458bdf80143e…bbe5 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q4_K_S.gguf
gguf · 16,5 GB · SHA-256 878a2138047c…c726 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q5_K_M.gguf
gguf · 20,3 GB · SHA-256 35cd75404d1c…c57e · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q5_K_S.gguf
gguf · 19,8 GB · SHA-256 d30dab2570a0…5862 · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.i1-Q6_K.gguf
gguf · 23,5 GB · SHA-256 a26aefa0ed93…e78e · Hugging Face
HerunterladenGemma-4-Queen-31B-it-uncensored-heretic.imatrix.gguf
gguf · 13,1 MB · SHA-256 56016c5028ca…27bf · Hugging Face
Herunterladen--- base_model: llmfan46/Gemma-4-Queen-31B-it-uncensored-heretic language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - heretic - uncensored - decensored - abliterated - ara - roleplay - gemma - gemma4 - sillytavern - idol - pytorch - DarkIdol - Queen - any-to-any - OpenClaw --- ## 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/llmfan46/Gemma-4-Queen-31B-it-uncensored-heretic <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Gemma-4-Queen-31B-it-uncensored-heretic-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Gemma-4-Queen-31B-it-uncensored-heretic-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Gemma-4-Queen-31B-it-uncensored-heretic-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/Gemma-4-Queen-31B-it-uncensored-heretic-i1-GGUF/resolve/main/Gemma-4-Queen-31B-it-uncensored-heretic.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Gemma-4-Queen-31B-it-uncensored-heretic-i1-GGUF/resolve/main/Gemma-4-Queen-31B-it-uncensored-heretic.i1-IQ1_S.gguf) | i1-IQ1_S | 7.3 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Gemma-4-Queen-31B-it-uncensored-heretic-i1-GGUF/resolve/main/Gemma-4-Queen-31B-it-uncensored-heretic.i1-IQ1_M.gguf) | i1-IQ1_M | 7.8 | mostly desperate | | [GGUF](https://huggingface.co/mrad...
Source context: 5235 downloads · 7 likes · Pipeline any-to-any · Library transformers · Repo mradermacher/Gemma-4-Queen-31B-it-uncensored-heretic-i1-GGUF
| GGUF | i1-IQ2_XS | 9.6 |
| GGUF | i1-IQ2_S | 10.3 |
| GGUF | i1-IQ2_M | 11.0 |
| GGUF | i1-Q2_K_S | 11.1 | very low quality |
| GGUF | i1-Q2_K | 12.0 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 12.2 | lower quality |
| GGUF | i1-IQ3_XS | 13.2 |
| GGUF | i1-IQ3_S | 13.9 | beats Q3_K* |
| GGUF | i1-Q3_K_S | 13.9 | IQ3_XS probably better |
| GGUF | i1-IQ3_M | 14.5 |
| GGUF | i1-Q3_K_M | 15.4 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 16.7 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 16.8 |
| GGUF | i1-Q4_0 | 17.8 | fast, low quality |
| GGUF | i1-Q4_K_S | 17.9 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 18.8 | fast, recommended |
| GGUF | i1-Q4_1 | 19.6 |
| GGUF | i1-Q5_K_S | 21.4 |
| GGUF | i1-Q5_K_M | 21.9 |
| GGUF | i1-Q6_K | 25.3 | practically like static Q6_K |
