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For a convenient overview and download list, visit our model page for this model.
Source du modèle
Description de la source
static quants of https://huggingface.co/aifeifei798/gemma-4-31B-Queen-it-qat-q4_0-unquantized
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at
Sources
1 sourceVérifié 17 sept.
Artefacts du modèle
7 artefactsgemma-4-31B-Queen-it-qat-q4_0-unquantized.IQ4_XS.gguf
gguf · 15,7 GB · SHA-256 2dc23e2d9f6e…8b42 · Hugging Face
Téléchargergemma-4-31B-Queen-it-qat-q4_0-unquantized.Q2_K.gguf
gguf · 11,1 GB · SHA-256 a89bfa44a7d0…75d4 · Hugging Face
TéléchargerExtraits de sources
3 extraitsIf 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)
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.
gemma-4-31B-Queen-it-qat-q4_0-unquantized.Q3_K_L.gguf
gguf · 15,5 GB · SHA-256 3d2b1eb06afc…1509 · Hugging Face
Téléchargergemma-4-31B-Queen-it-qat-q4_0-unquantized.Q3_K_M.gguf
gguf · 14,2 GB · SHA-256 605ce84407ec…1f0e · Hugging Face
Téléchargergemma-4-31B-Queen-it-qat-q4_0-unquantized.Q3_K_S.gguf
gguf · 12,8 GB · SHA-256 23bf4297f00b…a31b · Hugging Face
Téléchargergemma-4-31B-Queen-it-qat-q4_0-unquantized.Q4_K_M.gguf
gguf · 17,4 GB · SHA-256 e3d0489ac433…bc54 · Hugging Face
Téléchargergemma-4-31B-Queen-it-qat-q4_0-unquantized.Q4_K_S.gguf
gguf · 16,5 GB · SHA-256 587ee4fc59ba…8981 · Hugging Face
Télécharger--- base_model: aifeifei798/gemma-4-31B-Queen-it-qat-q4_0-unquantized language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - 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: --> <!-- ### quants: Q4_K_S Q2_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: 1 --> static quants of https://huggingface.co/aifeifei798/gemma-4-31B-Queen-it-qat-q4_0-unquantized <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#gemma-4-31B-Queen-it-qat-q4_0-unquantized-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-i1-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-4-31B-Queen-it-qat-q4_0-unquantized-GGUF/resolve/main/gemma-4-31B-Queen-it-qat-q4_0-unquantized.Q2_K.gguf) | Q2_K | 12.0 | | | [GGUF](https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-GGUF/resolve/main/gemma-4-31B-Queen-it-qat-q4_0-unquantized.Q3_K_S.gguf) | Q3_K_S | 13.9 | | | [GGUF](https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-GGUF/resolve/main/gemma-4-31B-Queen-it-qat-q4_0-unquantized.Q3_K_M.gguf) | Q3_K_M | 15.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-GGUF/resolve/main/gemma-4-31B-Queen-it-qat-q4_0-unquantized.Q3_K_L.gguf) | Q3_K_L | 16.7 | | | [GGUF](https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-GGUF/resolve/main/gemma-4-31B-Queen-it-qat-q4_0-unquantized.IQ4_XS.gguf) | IQ4_XS | 17.0 | | | [GGUF](https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquanti...
Source context: 503 downloads · 2 likes · Pipeline any-to-any · Library transformers · Repo mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-GGUF
Source context: 377 downloads · 2 likes · Pipeline any-to-any · Library transformers · Repo mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-GGUF
| GGUF | IQ4_XS | 17.0 |
| GGUF | Q4_K_S | 17.9 | fast, recommended |
| GGUF | Q4_K_M | 18.8 | fast, recommended |
