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mradermacher/Mistral-Medium-3.5-128B-Eschaton-Uncensored-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…

transformersggufpeftloraqlorabitsandbytesmistralmistral3mistral-mediummultimodalreasoningeschaton-engineeschaton-uncensoreduncensoredendataset:cloudbjorn/eschaton-uncensoredbase_model:cloudbjorn/Mistral-Medium-3.5-128B-Eschaton-Uncensoredbase_model:adapter:cloudbjorn/Mistral-Medium-3.5-128B-Eschaton-Uncensoredlicense:otherendpoints_compatibleregion:usconversational

Runs locally from ~0.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

11 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Mistral-Medium-3.5-128B-Eschaton-Uncensored.IQ4_XS.ggufGGUFGGUF63.03 GBDownload
Mistral-Medium-3.5-128B-Eschaton-Uncensored.Q2_K.ggufGGUFGGUF43.39 GBDownload
Mistral-Medium-3.5-128B-Eschaton-Uncensored.Q3_K_L.ggufGGUFGGUF61.53 GBDownload
Mistral-Medium-3.5-128B-Eschaton-Uncensored.Q3_K_M.ggufGGUFGGUF56.46 GBDownload
Mistral-Medium-3.5-128B-Eschaton-Uncensored.Q3_K_S.ggufGGUFGGUF50.63 GBDownload
Mistral-Medium-3.5-128B-Eschaton-Uncensored.Q4_K_M.ggufGGUFGGUF69.75 GBDownload
Mistral-Medium-3.5-128B-Eschaton-Uncensored.Q4_K_S.ggufGGUFGGUF66.36 GBDownload
Mistral-Medium-3.5-128B-Eschaton-Uncensored.Q5_K_M.ggufGGUFGGUF82.25 GBDownload
Mistral-Medium-3.5-128B-Eschaton-Uncensored.Q5_K_S.ggufGGUFGGUF80.27 GBDownload
Mistral-Medium-3.5-128B-Eschaton-Uncensored.mmproj-Q8_0.ggufGGUFQ8_00.0 MBDownload
Mistral-Medium-3.5-128B-Eschaton-Uncensored.mmproj-f16.ggufGGUFF160.0 MBDownload

Model Details

Model IDmradermacher/Mistral-Medium-3.5-128B-Eschaton-Uncensored-GGUF
Authormradermacher
Pipeline
Licenseother
Base modelcloudbjorn/Mistral-Medium-3.5-128B-Eschaton-Uncensored
Last modified2026-07-26T05:01:49.000Z

Model README

---

base_model: cloudbjorn/Mistral-Medium-3.5-128B-Eschaton-Uncensored

datasets:

  • cloudbjorn/eschaton-uncensored

language:

  • en

library_name: transformers

license: other

license_link: https://huggingface.co/mistralai/Mistral-Medium-3.5-128B/blob/main/LICENSE

license_name: modified-mit

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • transformers
  • peft
  • lora
  • qlora
  • bitsandbytes
  • mistral
  • mistral3
  • mistral-medium
  • multimodal
  • reasoning
  • eschaton-engine
  • eschaton-uncensored
  • uncensored

---

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/cloudbjorn/Mistral-Medium-3.5-128B-Eschaton-Uncensored

<!-- 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/Mistral-Medium-3.5-128B-Eschaton-Uncensored-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 | 0.1 | multi-modal supplement |

| GGUF | mmproj-f16 | 0.1 | multi-modal supplement |

| GGUF | Q2_K | 46.7 | |

| GGUF | Q3_K_S | 54.5 | |

| GGUF | Q3_K_M | 60.7 | lower quality |

| GGUF | Q3_K_L | 66.2 | |

| GGUF | IQ4_XS | 67.8 | |

| GGUF | Q4_K_S | 71.3 | fast, recommended |

| GGUF | Q4_K_M | 75.0 | fast, recommended |

| GGUF | Q5_K_S | 86.3 | |

| GGUF | Q5_K_M | 88.4 | |

| PART 1 PART 2 PART 3 | Q6_K | 102.7 | very good quality |

| PART 1 PART 2 PART 3 | Q8_0 | 133.0 | fast, 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.

<!-- end -->

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