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Rio 3.1 Open 30B GGUF

basemodel: prefeitura-rio/Rio-3.1-Open-30B language: en libraryname: transformers mradermacher: readmerev: 1 quantizedby: mradermacher

Fuentehuggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF/tree/fc9bb85313a2cd0b201d071600d1e473f772bfb5
TipoOtherModelo baseprefeitura-rio/Rio-3.1-Open-30BVersiónPublicador@mradermacherCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
15,4 GB
Modelo base
prefeitura-rio/Rio-3.1-Open-30B
Versión
vRio-3.1-Open-30B.IQ4_XS
Actualizado
28 sept 2026
Publicador
@mradermacher
Parámetros
30B
Fuente
Hugging Face

Descripción de la fuente

About

static quants of https://huggingface.co/prefeitura-rio/Rio-3.1-Open-30B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Rio-3.1-Open-30B-i1-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)

LinkTypeSize/GBNotes
GGUFQ2_K11.4
GGUFQ3_K_S13.4
GGUFQ3_K_M14.8lower quality
GGUFQ3_K_L16.0
GGUFIQ4_XS16.7
GGUFQ4_K_S17.6fast, recommended
GGUFQ4_K_M18.7fast, recommended
GGUFQ5_K_S21.2
GGUFQ5_K_M21.8
GGUFQ6_K25.2very good quality
GGUFQ8_032.6fast, best quality

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.

Fuentes

1 fuente
Hugging FacePrincipalVersión fc9bb85313a2cd0b201d071600d1e473f772bfb5
huggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF/tree/fc9bb85313a2cd0b201d071600d1e473f772bfb5

Verificado 9 ago

Artefactos del modelo

1 artefacto

Rio-3.1-Open-30B.IQ4_XS.gguf

gguf · 15,4 GB · SHA-256 301faac78b4b…2db4 · Hugging Face

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Extractos de fuentes

3 extractos
Readme11 julhuggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF

--- base_model: prefeitura-rio/Rio-3.1-Open-30B language: - en library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/prefeitura-rio/Rio-3.1-Open-30B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Rio-3.1-Open-30B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Rio-3.1-Open-30B-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/Rio-3.1-Open-30B-GGUF/resolve/main/Rio-3.1-Open-30B.Q2_K.gguf) | Q2_K | 11.4 | | | [GGUF](https://huggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF/resolve/main/Rio-3.1-Open-30B.Q3_K_S.gguf) | Q3_K_S | 13.4 | | | [GGUF](https://huggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF/resolve/main/Rio-3.1-Open-30B.Q3_K_M.gguf) | Q3_K_M | 14.8 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF/resolve/main/Rio-3.1-Open-30B.Q3_K_L.gguf) | Q3_K_L | 16.0 | | | [GGUF](https://huggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF/resolve/main/Rio-3.1-Open-30B.IQ4_XS.gguf) | IQ4_XS | 16.7 | | | [GGUF](https://huggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF/resolve/main/Rio-3.1-Open-30B.Q4_K_S.gguf) | Q4_K_S | 17.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF/resolve/main/Rio-3.1-Open-30B.Q4_K_M.gguf) | Q4_K_M | 18.7 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF/resolve/main/Rio-3.1-Open-30B.Q5_K_S.gguf) | Q5_K_S | 21.2 | | | [GGUF](https://huggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF/resolve/main/Rio-3.1-Open-30B.Q5_K...

Note9 agohuggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF

Source context: 34 downloads · 0 likes · Library transformers · Repo mradermacher/Rio-3.1-Open-30B-GGUF

Note17 julhuggingface.co/mradermacher/Rio-3.1-Open-30B-GGUF

Source context: 3806 downloads · 0 likes · Library transformers · Repo mradermacher/Rio-3.1-Open-30B-GGUF