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mradermacher/XORTRON-NXTXPRTXXL-i1-GGUF overview

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…

transformersggufmistral3mistral-3.5multimodalvisionimage-text-to-textfp16safetensorshereticconversationalenbase_model:darkc0de/XORTRON-NXTXPRTXXLbase_model:quantized:darkc0de/XORTRON-NXTXPRTXXLlicense:otherendpoints_compatibleregion:usimatrix

Runs locally from ~34.5 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
1,290
Likes
2
Pipeline
image-text-to-text

Repository Files & Downloads

23 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
XORTRON-NXTXPRTXXL.i1-IQ1_M.ggufGGUFIQ1_M27.59 GBDownload
XORTRON-NXTXPRTXXL.i1-IQ1_S.ggufGGUFIQ1_S25.33 GBDownload
XORTRON-NXTXPRTXXL.i1-IQ2_M.ggufGGUFIQ2_M40.02 GBDownload
XORTRON-NXTXPRTXXL.i1-IQ2_S.ggufGGUFIQ2_S37.01 GBDownload
XORTRON-NXTXPRTXXL.i1-IQ2_XS.ggufGGUFIQ2_XS34.75 GBDownload
XORTRON-NXTXPRTXXL.i1-IQ2_XXS.ggufGGUFIQ2_XXS31.35 GBDownload
XORTRON-NXTXPRTXXL.i1-IQ3_M.ggufGGUFIQ3_M52.89 GBDownload
XORTRON-NXTXPRTXXL.i1-IQ3_S.ggufGGUFIQ3_S50.77 GBDownload
XORTRON-NXTXPRTXXL.i1-IQ3_XS.ggufGGUFIQ3_XS48.11 GBDownload
XORTRON-NXTXPRTXXL.i1-IQ3_XXS.ggufGGUFIQ3_XXS45.04 GBDownload
XORTRON-NXTXPRTXXL.i1-IQ4_XS.ggufGGUFIQ4_XS62.47 GBDownload
XORTRON-NXTXPRTXXL.i1-Q2_K.ggufGGUFQ2_K43.39 GBDownload
XORTRON-NXTXPRTXXL.i1-Q2_K_S.ggufGGUFQ2_K_S40.05 GBDownload
XORTRON-NXTXPRTXXL.i1-Q3_K_L.ggufGGUFQ3_K_L61.53 GBDownload
XORTRON-NXTXPRTXXL.i1-Q3_K_M.ggufGGUFQ3_K_M56.46 GBDownload
XORTRON-NXTXPRTXXL.i1-Q3_K_S.ggufGGUFQ3_K_S50.63 GBDownload
XORTRON-NXTXPRTXXL.i1-Q4_0.ggufGGUFQ4_066.12 GBDownload
XORTRON-NXTXPRTXXL.i1-Q4_1.ggufGGUFQ4_173.08 GBDownload
XORTRON-NXTXPRTXXL.i1-Q4_K_M.ggufGGUFQ4_K_M69.75 GBDownload
XORTRON-NXTXPRTXXL.i1-Q4_K_S.ggufGGUFQ4_K_S66.36 GBDownload
XORTRON-NXTXPRTXXL.i1-Q5_K_M.ggufGGUFQ5_K_M82.25 GBDownload
XORTRON-NXTXPRTXXL.i1-Q5_K_S.ggufGGUFQ5_K_S80.27 GBDownload
XORTRON-NXTXPRTXXL.imatrix.ggufGGUFGGUF34.5 MBDownload

Model Details

Model IDmradermacher/XORTRON-NXTXPRTXXL-i1-GGUF
Authormradermacher
Pipelineimage-text-to-text
Licenseother
Base modeldarkc0de/XORTRON-NXTXPRTXXL
Last modified2026-07-18T18:19:53.000Z

Model README

---

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: 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/darkc0de/XORTRON-NXTXPRTXXL

<!-- provided-files -->

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

static quants are available at https://huggingface.co/mradermacher/XORTRON-NXTXPRTXXL-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 | imatrix | 0.1 | imatrix file (for creating your own quants) |

| GGUF | i1-IQ1_S | 27.3 | for the desperate |

| GGUF | i1-IQ1_M | 29.7 | mostly desperate |

| GGUF | i1-IQ2_XXS | 33.8 | |

| GGUF | i1-IQ2_XS | 37.4 | |

| GGUF | i1-IQ2_S | 39.8 | |

| GGUF | i1-IQ2_M | 43.1 | |

| GGUF | i1-Q2_K_S | 43.1 | very low quality |

| GGUF | i1-Q2_K | 46.7 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XXS | 48.5 | lower quality |

| GGUF | i1-IQ3_XS | 51.8 | |

| GGUF | i1-Q3_K_S | 54.5 | IQ3_XS probably better |

| GGUF | i1-IQ3_S | 54.6 | beats Q3_K* |

| GGUF | i1-IQ3_M | 56.9 | |

| GGUF | i1-Q3_K_M | 60.7 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 66.2 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 67.2 | |

| GGUF | i1-Q4_0 | 71.1 | fast, low quality |

| GGUF | i1-Q4_K_S | 71.3 | optimal size/speed/quality |

| GGUF | i1-Q4_K_M | 75.0 | fast, recommended |

| GGUF | i1-Q4_1 | 78.6 | |

| GGUF | i1-Q5_K_S | 86.3 | |

| GGUF | i1-Q5_K_M | 88.4 | |

| PART 1 PART 2 PART 3 | i1-Q6_K | 102.7 | practically 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.

<!-- end -->

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