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XORTRON NXTXPRTXXL GGUF

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

TipoModeloModelo basedarkc0de/XORTRON-NXTXPRTXXLVersiónRevision e6a612aBcalidad

Fuente del modelo

Tipo
Modelo
Tamaño del archivo
43,4–82,3 GB
Modelo base
darkc0de/XORTRON-NXTXPRTXXL
Versión
vRevision e6a612a
Actualizado
30 oct 2026
Descargas
280
Fuente
Hugging Face

Descripción de la fuente

About

static quants of https://huggingface.co/darkc0de/XORTRON-NXTXPRTXXL

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/XORTRON-NXTXPRTXXL-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_K46.7
GGUFQ3_K_S54.5
GGUFQ3_K_M60.7lower quality
GGUFQ3_K_L66.2
GGUFIQ4_XS67.8
GGUFQ4_K_S71.3fast, recommended
GGUFQ4_K_M75.0fast, recommended
GGUFQ5_K_S86.3
GGUFQ5_K_M88.4
PART 1 PART 2 PART 3Q6_K102.7very good quality
PART 1 PART 2 PART 3Q8_0133.0fast, 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 e6a612a899e480821f47e9acc3922205350a5e63
huggingface.co/mradermacher/XORTRON-NXTXPRTXXL-GGUF/tree/e6a612a899e480821f47e9acc3922205350a5e63

Verificado 30 oct

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Artefactos del modelo

9 artefactos

XORTRON-NXTXPRTXXL.IQ4_XS.gguf

gguf · 63,0 GB · SHA-256 29b810045d81…9f65 · Hugging Face

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XORTRON-NXTXPRTXXL.Q2_K.gguf

gguf · Q2_K (unverified) · 43,4 GB · SHA-256 0298dd3bd0c9…fc1b · Hugging Face

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XORTRON-NXTXPRTXXL.Q3_K_L.gguf

gguf · Q3_K_L (unverified) · 61,5 GB · SHA-256 09e076d1cdca…a593 · Hugging Face

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XORTRON-NXTXPRTXXL.Q3_K_M.gguf

gguf · Q3_K_M (unverified) · 56,5 GB · SHA-256 a053767125ed…73f8 · Hugging Face

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XORTRON-NXTXPRTXXL.Q3_K_S.gguf

gguf · Q3_K_S (unverified) · 50,6 GB · SHA-256 d2c3e409b255…3d5b · Hugging Face

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XORTRON-NXTXPRTXXL.Q4_K_M.gguf

gguf · Q4_K_M (unverified) · 69,8 GB · SHA-256 bc44c899ccbe…66e6 · Hugging Face

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XORTRON-NXTXPRTXXL.Q4_K_S.gguf

gguf · Q4_K_S (unverified) · 66,4 GB · SHA-256 07d3a22b8781…915e · Hugging Face

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XORTRON-NXTXPRTXXL.Q5_K_M.gguf

gguf · Q5_K_M (unverified) · 82,3 GB · SHA-256 beda06c2a008…5319 · Hugging Face

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XORTRON-NXTXPRTXXL.Q5_K_S.gguf

gguf · Q5_K_S (unverified) · 80,3 GB · SHA-256 07067d1d429b…49c6 · Hugging Face

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Extractos de fuentes

3 extractos

--- base_model: darkc0de/XORTRON-NXTXPRTXXL language: - en library_name: transformers license: other mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - mistral3 - mistral-3.5 - multimodal - vision - image-text-to-text - fp16 - safetensors - heretic - conversational --- ## 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/darkc0de/XORTRON-NXTXPRTXXL <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#XORTRON-NXTXPRTXXL-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/XORTRON-NXTXPRTXXL-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/XORTRON-NXTXPRTXXL-GGUF/resolve/main/XORTRON-NXTXPRTXXL.Q2_K.gguf) | Q2_K | 46.7 | | | [GGUF](https://huggingface.co/mradermacher/XORTRON-NXTXPRTXXL-GGUF/resolve/main/XORTRON-NXTXPRTXXL.Q3_K_S.gguf) | Q3_K_S | 54.5 | | | [GGUF](https://huggingface.co/mradermacher/XORTRON-NXTXPRTXXL-GGUF/resolve/main/XORTRON-NXTXPRTXXL.Q3_K_M.gguf) | Q3_K_M | 60.7 | lower quality | | [GGUF](https://huggingface.co/mradermacher/XORTRON-NXTXPRTXXL-GGUF/resolve/main/XORTRON-NXTXPRTXXL.Q3_K_L.gguf) | Q3_K_L | 66.2 | | | [GGUF](https://huggingface.co/mradermacher/XORTRON-NXTXPRTXXL-GGUF/resolve/main/XORTRON-NXTXPRTXXL.IQ4_XS.gguf) | IQ4_XS | 67.8 | | | [GGUF](https://huggingface.co/mradermacher/XORTRON-NXTXPRTXXL-GGUF/resolve/main/XORTRON-NXTXPRTXXL.Q4_K_S.gguf) | Q4_K_S | 71.3 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/XORTRON-NXTXPRTXXL-GGUF/resolve/main/XORTRON-NXTXPRTXXL.Q4_K_M.gguf) | Q4_K_M | 75.0 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/XORTRON-NXTXPRTXXL-GGUF/r...

Source context: 280 downloads · 2 likes · Pipeline image-text-to-text · Library transformers · Repo mradermacher/XORTRON-NXTXPRTXXL-GGUF

Source context: 452 downloads · 2 likes · Pipeline image-text-to-text · Library transformers · Repo mradermacher/XORTRON-NXTXPRTXXL-GGUF