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Experienced Voyager 24B I1 GGUF

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

TipoOtherModelo baseSorihon/Experienced-Voyager-24BVersiónRevision 55bde31Publicador@mradermacherCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
9,57 MB–18,0 GB
Modelo base
Sorihon/Experienced-Voyager-24B
Versión
vRevision 55bde31
Actualizado
20 oct 2026
Publicador
@mradermacher
Descargas
446
Parámetros
24B
Fuente
Hugging Face

Descripción de la fuente

About

weighted/imatrix quants of https://huggingface.co/Sorihon/Experienced-Voyager-24B

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

static quants are available at https://huggingface.co/mradermacher/Experienced-Voyager-24B-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
GGUFimatrix0.1imatrix file (for creating your own quants)
GGUFi1-IQ1_S5.4for the desperate
GGUFi1-IQ1_M5.9mostly desperate
GGUFi1-IQ2_XXS6.6
GGUFi1-IQ2_XS7.3
GGUFi1-IQ2_S7.6
GGUFi1-IQ2_M8.2
GGUFi1-Q2_K_S8.4very low quality
GGUFi1-Q2_K9.0IQ3_XXS probably better
GGUFi1-IQ3_XXS9.4lower quality
GGUFi1-IQ3_XS10.0
GGUFi1-Q3_K_S10.5IQ3_XS probably better
GGUFi1-IQ3_S10.5beats Q3_K*
GGUFi1-IQ3_M10.8
GGUFi1-Q3_K_M11.6IQ3_S probably better
GGUFi1-Q3_K_L12.5IQ3_M probably better
GGUFi1-IQ4_XS12.9
GGUFi1-Q4_013.6fast, low quality
GGUFi1-Q4_K_S13.6optimal size/speed/quality
GGUFi1-Q4_K_M14.4fast, recommended
GGUFi1-Q4_115.0
GGUFi1-Q5_K_S16.4
GGUFi1-Q5_K_M16.9
GGUFi1-Q6_K19.4practically like static Q6_K

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.

Fuentes

1 fuente
Hugging FacePrincipalVersión 55bde31648eb31d8a0a32f86edea4eaaf0a68851
huggingface.co/mradermacher/Experienced-Voyager-24B-i1-GGUF/tree/55bde31648eb31d8a0a32f86edea4eaaf0a68851

Verificado 20 oct

Artefactos del modelo

24 artefactos

Experienced-Voyager-24B.i1-IQ1_M.gguf

gguf · 5,36 GB · SHA-256 c7d5dae59e67…bf21 · Hugging Face

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Experienced-Voyager-24B.i1-IQ1_S.gguf

gguf · 4,91 GB · SHA-256 20dc968998f0…85cf · Hugging Face

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Experienced-Voyager-24B.i1-IQ2_M.gguf

gguf · 7,56 GB · SHA-256 0aa0386814ea…46a7 · Hugging Face

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Experienced-Voyager-24B.i1-IQ2_S.gguf

gguf · 6,96 GB · SHA-256 34a370a7175a…51ec · Hugging Face

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Experienced-Voyager-24B.i1-IQ2_XS.gguf

gguf · 6,71 GB · SHA-256 fa3ecb6c2005…83a6 · Hugging Face

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Experienced-Voyager-24B.i1-IQ2_XXS.gguf

gguf · 6,10 GB · SHA-256 32c4b6f692dc…f8a2 · Hugging Face

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Experienced-Voyager-24B.i1-IQ3_M.gguf

gguf · 9,92 GB · SHA-256 fd864cd9ce8d…187d · Hugging Face

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Experienced-Voyager-24B.i1-IQ3_S.gguf

gguf · 9,71 GB · SHA-256 f91cc39349d3…dda1 · Hugging Face

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Experienced-Voyager-24B.i1-IQ3_XS.gguf

gguf · 9,23 GB · SHA-256 862b2d027ab9…2fb5 · Hugging Face

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Experienced-Voyager-24B.i1-IQ3_XXS.gguf

gguf · 8,64 GB · SHA-256 190bb987a012…552e · Hugging Face

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Experienced-Voyager-24B.i1-IQ4_XS.gguf

gguf · 11,9 GB · SHA-256 856a63832d50…c3bb · Hugging Face

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Experienced-Voyager-24B.i1-Q2_K_S.gguf

gguf · 7,75 GB · SHA-256 deee2d86a871…1b3e · Hugging Face

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Experienced-Voyager-24B.i1-Q2_K.gguf

gguf · 8,28 GB · SHA-256 92a0ae412a84…5200 · Hugging Face

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Experienced-Voyager-24B.i1-Q3_K_L.gguf

gguf · 11,5 GB · SHA-256 1548e236d44b…0506 · Hugging Face

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Experienced-Voyager-24B.i1-Q3_K_M.gguf

gguf · 10,7 GB · SHA-256 622e847f4c5c…7ce0 · Hugging Face

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Experienced-Voyager-24B.i1-Q3_K_S.gguf

gguf · 9,69 GB · SHA-256 59eda36e98ad…7756 · Hugging Face

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Experienced-Voyager-24B.i1-Q4_0.gguf

gguf · 12,6 GB · SHA-256 3238199a68e2…976f · Hugging Face

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Experienced-Voyager-24B.i1-Q4_1.gguf

gguf · 13,9 GB · SHA-256 8d582ad2ad2e…d46a · Hugging Face

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Experienced-Voyager-24B.i1-Q4_K_M.gguf

gguf · 13,3 GB · SHA-256 57f8e50060d8…d595 · Hugging Face

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Experienced-Voyager-24B.i1-Q4_K_S.gguf

gguf · 12,6 GB · SHA-256 d09fb3257df9…fc7e · Hugging Face

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Experienced-Voyager-24B.i1-Q5_K_M.gguf

gguf · 15,6 GB · SHA-256 886cc0fa88d1…5af1 · Hugging Face

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Experienced-Voyager-24B.i1-Q5_K_S.gguf

gguf · 15,2 GB · SHA-256 657905988582…3254 · Hugging Face

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Experienced-Voyager-24B.i1-Q6_K.gguf

gguf · 18,0 GB · SHA-256 e00356caea83…a862 · Hugging Face

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Experienced-Voyager-24B.imatrix.gguf

gguf · 9,57 MB · SHA-256 b7c9f5d2cb7c…31ec · Hugging Face

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Extractos de fuentes

3 extractos

--- base_model: Sorihon/Experienced-Voyager-24B language: - en library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - mergekit - merge --- ## 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/Sorihon/Experienced-Voyager-24B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Experienced-Voyager-24B-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Experienced-Voyager-24B-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/Experienced-Voyager-24B-i1-GGUF/resolve/main/Experienced-Voyager-24B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Experienced-Voyager-24B-i1-GGUF/resolve/main/Experienced-Voyager-24B.i1-IQ1_S.gguf) | i1-IQ1_S | 5.4 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Experienced-Voyager-24B-i1-GGUF/resolve/main/Experienced-Voyager-24B.i1-IQ1_M.gguf) | i1-IQ1_M | 5.9 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Experienced-Voyager-24B-i1-GGUF/resolve/main/Experienced-Voyager-24B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 6.6 | | | [GGUF](https://huggingface.co/mradermacher/Experienced-Voyager-24B-i1-GGUF/resolve/main/Experienced-Voyager-24B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 7.3 | | | [GGUF](https://huggingface.co/mradermacher/Experienced-Voyager-24B-i1-GGUF/resolve/main/Experienced-Voyager-24B.i1-IQ2_S.gguf) | i1-IQ2_S | 7.6 | | | [GGUF](https://huggingface.co/mradermacher/Experienced-Voyager-24B-i1...

Source context: 446 downloads · 0 likes · Library transformers · Repo mradermacher/Experienced-Voyager-24B-i1-GGUF

Source context: 381 downloads · 0 likes · Library transformers · Repo mradermacher/Experienced-Voyager-24B-i1-GGUF