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mradermacher/spoomplesmaxx-v2.1-30B-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…

transformersggufgeneral-purposeroleplaycreative-writingstorywritinggranite-4.1finetuneSFTtext-generation-inferenceenptdataset:aimeri/spoomplesmaxx-sft-full-v2base_model:aimeri/spoomplesmaxx-v2.1-30Bbase_model:quantized:aimeri/spoomplesmaxx-v2.1-30Bendpoints_compatibleregion:usimatrixconversational

Runs locally from ~14.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

24 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
spoomplesmaxx-v2.1-30B.i1-IQ1_M.ggufGGUFIQ1_M6.30 GBDownload
spoomplesmaxx-v2.1-30B.i1-IQ1_S.ggufGGUFIQ1_S5.73 GBDownload
spoomplesmaxx-v2.1-30B.i1-IQ2_M.ggufGGUFIQ2_M9.04 GBDownload
spoomplesmaxx-v2.1-30B.i1-IQ2_S.ggufGGUFIQ2_S8.28 GBDownload
spoomplesmaxx-v2.1-30B.i1-IQ2_XS.ggufGGUFIQ2_XS8.04 GBDownload
spoomplesmaxx-v2.1-30B.i1-IQ2_XXS.ggufGGUFIQ2_XXS7.25 GBDownload
spoomplesmaxx-v2.1-30B.i1-IQ3_M.ggufGGUFIQ3_M12.00 GBDownload
spoomplesmaxx-v2.1-30B.i1-IQ3_S.ggufGGUFIQ3_S11.74 GBDownload
spoomplesmaxx-v2.1-30B.i1-IQ3_XS.ggufGGUFIQ3_XS11.12 GBDownload
spoomplesmaxx-v2.1-30B.i1-IQ3_XXS.ggufGGUFIQ3_XXS10.43 GBDownload
spoomplesmaxx-v2.1-30B.i1-IQ4_XS.ggufGGUFIQ4_XS14.44 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q2_K.ggufGGUFQ2_K9.99 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q2_K_S.ggufGGUFQ2_K_S9.31 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q3_K_L.ggufGGUFQ3_K_L14.09 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q3_K_M.ggufGGUFQ3_K_M13.00 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q3_K_S.ggufGGUFQ3_K_S11.71 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q4_0.ggufGGUFQ4_015.29 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q4_1.ggufGGUFQ4_116.88 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q4_K_M.ggufGGUFQ4_K_M16.29 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q4_K_S.ggufGGUFQ4_K_S15.35 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q5_K_M.ggufGGUFQ5_K_M19.09 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q5_K_S.ggufGGUFQ5_K_S18.54 GBDownload
spoomplesmaxx-v2.1-30B.i1-Q6_K.ggufGGUFQ6_K22.06 GBDownload
spoomplesmaxx-v2.1-30B.imatrix.ggufGGUFGGUF14.1 MBDownload

Model Details

Model IDmradermacher/spoomplesmaxx-v2.1-30B-i1-GGUF
Authormradermacher
Pipeline
License
Base modelaimeri/spoomplesmaxx-v2.1-30B
Last modified2026-06-29T13:12:53.000Z

Model README

---

base_model: aimeri/spoomplesmaxx-v2.1-30B

datasets:

  • aimeri/spoomplesmaxx-sft-full-v2

language:

  • en
  • pt

library_name: transformers

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • general-purpose
  • roleplay
  • creative-writing
  • storywriting
  • granite-4.1
  • finetune
  • SFT
  • text-generation-inference

---

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/aimeri/spoomplesmaxx-v2.1-30B

<!-- 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/spoomplesmaxx-v2.1-30B-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 | imatrix | 0.1 | imatrix file (for creating your own quants) |

| GGUF | i1-IQ1_S | 6.3 | for the desperate |

| GGUF | i1-IQ1_M | 6.9 | mostly desperate |

| GGUF | i1-IQ2_XXS | 7.9 | |

| GGUF | i1-IQ2_XS | 8.7 | |

| GGUF | i1-IQ2_S | 9.0 | |

| GGUF | i1-IQ2_M | 9.8 | |

| GGUF | i1-Q2_K_S | 10.1 | very low quality |

| GGUF | i1-Q2_K | 10.8 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XXS | 11.3 | lower quality |

| GGUF | i1-IQ3_XS | 12.0 | |

| GGUF | i1-Q3_K_S | 12.7 | IQ3_XS probably better |

| GGUF | i1-IQ3_S | 12.7 | beats Q3_K* |

| GGUF | i1-IQ3_M | 13.0 | |

| GGUF | i1-Q3_K_M | 14.1 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 15.2 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 15.6 | |

| GGUF | i1-Q4_0 | 16.5 | fast, low quality |

| GGUF | i1-Q4_K_S | 16.6 | optimal size/speed/quality |

| GGUF | i1-Q4_K_M | 17.6 | fast, recommended |

| GGUF | i1-Q4_1 | 18.2 | |

| GGUF | i1-Q5_K_S | 20.0 | |

| GGUF | i1-Q5_K_M | 20.6 | |

| GGUF | i1-Q6_K | 23.8 | 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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