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mradermacher/Felldude-Uncensored-Ministral3-3B-bf16-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…

transformersggufenbase_model:dummy9996/Felldude-Uncensored-Ministral3-3B-bf16base_model:quantized:dummy9996/Felldude-Uncensored-Ministral3-3B-bf16endpoints_compatibleregion:usimatrixconversational

Runs locally from ~2.9 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

25 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ1_M.ggufGGUFBF16951.3 MBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ1_S.ggufGGUFBF16894.7 MBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ2_M.ggufGGUFBF161.23 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ2_S.ggufGGUFBF161.16 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ2_XS.ggufGGUFBF161.10 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ2_XXS.ggufGGUFBF161.02 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ3_M.ggufGGUFBF161.59 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ3_S.ggufGGUFBF161.54 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ3_XS.ggufGGUFBF161.47 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ3_XXS.ggufGGUFBF161.35 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ4_NL.ggufGGUFBF161.91 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-IQ4_XS.ggufGGUFBF161.82 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q2_K.ggufGGUFBF161.36 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q2_K_S.ggufGGUFBF161.28 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q3_K_L.ggufGGUFBF161.80 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q3_K_M.ggufGGUFBF161.67 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q3_K_S.ggufGGUFBF161.53 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q4_0.ggufGGUFBF161.91 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q4_1.ggufGGUFBF162.08 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q4_K_M.ggufGGUFBF162.00 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q4_K_S.ggufGGUFBF161.91 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q5_K_M.ggufGGUFBF162.30 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q5_K_S.ggufGGUFBF162.25 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.i1-Q6_K.ggufGGUFBF162.63 GBDownload
Felldude-Uncensored-Ministral3-3B-bf16.imatrix.ggufGGUFBF162.9 MBDownload

Model Details

Model IDmradermacher/Felldude-Uncensored-Ministral3-3B-bf16-i1-GGUF
Authormradermacher
Pipeline
License
Base modeldummy9996/Felldude-Uncensored-Ministral3-3B-bf16
Last modified2026-07-07T22:10:58.000Z

Model README

---

base_model: dummy9996/Felldude-Uncensored-Ministral3-3B-bf16

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: 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/dummy9996/Felldude-Uncensored-Ministral3-3B-bf16

<!-- 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/Felldude-Uncensored-Ministral3-3B-bf16-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 | 1.0 | for the desperate |

| GGUF | i1-IQ1_M | 1.1 | mostly desperate |

| GGUF | i1-IQ2_XXS | 1.2 | |

| GGUF | i1-IQ2_XS | 1.3 | |

| GGUF | i1-IQ2_S | 1.3 | |

| GGUF | i1-IQ2_M | 1.4 | |

| GGUF | i1-Q2_K_S | 1.5 | very low quality |

| GGUF | i1-IQ3_XXS | 1.5 | lower quality |

| GGUF | i1-Q2_K | 1.6 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XS | 1.7 | |

| GGUF | i1-Q3_K_S | 1.7 | IQ3_XS probably better |

| GGUF | i1-IQ3_S | 1.8 | beats Q3_K* |

| GGUF | i1-IQ3_M | 1.8 | |

| GGUF | i1-Q3_K_M | 1.9 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 2.0 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 2.1 | |

| GGUF | i1-Q4_0 | 2.1 | fast, low quality |

| GGUF | i1-IQ4_NL | 2.2 | prefer IQ4_XS |

| GGUF | i1-Q4_K_S | 2.2 | optimal size/speed/quality |

| GGUF | i1-Q4_K_M | 2.2 | fast, recommended |

| GGUF | i1-Q4_1 | 2.3 | |

| GGUF | i1-Q5_K_S | 2.5 | |

| GGUF | i1-Q5_K_M | 2.6 | |

| GGUF | i1-Q6_K | 2.9 | 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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