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mradermacher/Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant-GGUF overview

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…

transformersggufrproleplaylorafinetunewritercreativeexperimentalNSFWERPenbase_model:Indexnusrefather/Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerantbase_model:adapter:Indexnusrefather/Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerantlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~439.3 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

14 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.IQ4_XS.ggufGGUFGGUF1.84 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.Q2_K.ggufGGUFGGUF1.36 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.Q3_K_L.ggufGGUFGGUF1.80 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.Q3_K_M.ggufGGUFGGUF1.67 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.Q3_K_S.ggufGGUFGGUF1.53 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.Q4_K_M.ggufGGUFGGUF2.00 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.Q4_K_S.ggufGGUFGGUF1.91 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.Q5_K_M.ggufGGUFGGUF2.30 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.Q5_K_S.ggufGGUFGGUF2.25 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.Q6_K.ggufGGUFGGUF2.63 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.Q8_0.ggufGGUFGGUF3.40 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.f16.ggufGGUFGGUF6.39 GBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.mmproj-Q8_0.ggufGGUFQ8_0439.3 MBDownload
Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant.mmproj-f16.ggufGGUFF16801.4 MBDownload

Model Details

Model IDmradermacher/Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant-GGUF
Authormradermacher
Pipeline
Licenseapache-2.0
Base modelIndexnusrefather/Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant
Last modified2026-07-21T15:34:37.000Z

Model README

---

base_model: Indexnusrefather/Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant

language:

  • en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • rp
  • roleplay
  • lora
  • finetune
  • writer
  • creative
  • experimental
  • NSFW
  • ERP

---

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/Indexnusrefather/Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant

<!-- provided-files -->

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant-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 | mmproj-Q8_0 | 0.6 | multi-modal supplement |

| GGUF | mmproj-f16 | 0.9 | multi-modal supplement |

| GGUF | Q2_K | 1.6 | |

| GGUF | Q3_K_S | 1.7 | |

| GGUF | Q3_K_M | 1.9 | lower quality |

| GGUF | Q3_K_L | 2.0 | |

| GGUF | IQ4_XS | 2.1 | |

| GGUF | Q4_K_S | 2.2 | fast, recommended |

| GGUF | Q4_K_M | 2.2 | fast, recommended |

| GGUF | Q5_K_S | 2.5 | |

| GGUF | Q5_K_M | 2.6 | |

| GGUF | Q6_K | 2.9 | very good quality |

| GGUF | Q8_0 | 3.8 | fast, best quality |

| GGUF | f16 | 7.0 | 16 bpw, overkill |

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.

<!-- end -->

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