mradermacher/Mistral-Medium-3.5-128B-Eschaton-Uncensored-i1-GGUF overview

---

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

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weighted/imatrix quants of https://huggingface.co/cloudbjorn/Mistral-Medium-3.5-128B-Eschaton-Uncensored

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

static quants are available at https://huggingface.co/mradermacher/Mistral-Medium-3.5-128B-Eschaton-Uncensored-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.

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