← back to catalog · registered 2026-08-22 13:56

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

mradermacher Mistral 128B GGUF multimodal second-order 262K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FMistral-Medium-3.5-128B-Eschaton-Uncensored-i1-GGUF"
Response includes
  • classification m8
  • files 28
  • hub_downloads_all_time 3,160
  • author_summary 3324 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=mradermacher (M8 quantization producer, never originator)
  • is_gguf=1
  • base_model='cloudbjorn/Mistral-Medium-3.5-128B-Eschaton-Uncensored' (base has 'abliterated' marker, assume M1 default)
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · lifetime
3K
2K last 30d - active
Likes
2
Model age
2mo ago
created 2026-07-26

Training datasets

1 of 1 in /datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now3.8K→from749↑411%
5951.8K3K4.1K749 on Jul 293.8K on Oct 11JulAugSepOct
Jul 29 → Oct 11 · 51 snapshots · spans 74 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 4K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
other
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K
Tags
transformers gguf peft lora qlora bitsandbytes mistral mistral3 mistral-medium multimodal reasoning eschaton-engine

Related

Total size
1.12 TB
Files
28
Quantizations
10
Registered
2026-08-22 13:56
Last updated on HF
2026-07-26 10:00

Files by quantization

Q5_K 2 files 163 GB
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q5_K_M.gguf 82.3 GB 3c63fc60 download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q5_K_S.gguf 80.3 GB b1d54338 download
Q4 2 files 139 GB
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q4_1.gguf 73.1 GB cb9a4442 download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q4_0.gguf 66.1 GB 6ee4d731 download
Q4_K 2 files 136 GB
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q4_K_M.gguf 69.8 GB 16c42497 download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q4_K_S.gguf 66.4 GB 6da908c1 download
IQ4 1 file 62.5 GB
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-IQ4_XS.gguf 62.5 GB 5ca9ab4a download
Q3_K 3 files 169 GB
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q3_K_L.gguf 61.5 GB ce13b25c download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q3_K_M.gguf 56.5 GB 46f71c9e download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q3_K_S.gguf 50.6 GB a72a03d4 download
IQ3 4 files 197 GB
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-IQ3_M.gguf 52.9 GB 2ba3b7e9 download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-IQ3_S.gguf 50.8 GB 9e62fed1 download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-IQ3_XS.gguf 48.1 GB 368f262a download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-IQ3_XXS.gguf 45.0 GB 2c0eaf5e download
Q2_K 2 files 83.4 GB
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q2_K.gguf 43.4 GB 3e6e07a0 download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q2_K_S.gguf 40.0 GB df12d51a download
IQ2 4 files 143 GB
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-IQ2_M.gguf 40.0 GB c4208d26 download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-IQ2_S.gguf 37.0 GB 94b3163c download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-IQ2_XS.gguf 34.8 GB 7516696d download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-IQ2_XXS.gguf 31.4 GB 2b504972 download
IQ1 2 files 52.9 GB
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-IQ1_M.gguf 27.6 GB ead819c0 download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-IQ1_S.gguf 25.3 GB 28548180 download
Auxiliary files 6 files 95.6 GB
Mistral-Medium-3.5-128B-Eschaton-Uncensored.imatrix.gguf 34.5 MB 6980eb1e download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q6_K.gguf.part1of3 32.0 GB 33d81209 download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q6_K.gguf.part2of3 32.0 GB 517b6dc8 download
Mistral-Medium-3.5-128B-Eschaton-Uncensored.i1-Q6_K.gguf.part3of3 31.5 GB 7ebede19 download
README.md 7.91 KB 6894ec52 download
.gitattributes 3.90 KB 6f947df4 download

README current version from Hugging Face


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

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

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
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.

README history 7 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-07-26auto-patch README.md5e62bc27.9 KB
    Loading...
  2. 2026-07-26auto-patch README.md8827c527.3 KB
    Loading...
  3. 2026-07-26auto-patch README.mdd41339f6.4 KB
    Loading...
  4. 2026-07-26auto-patch README.md6cf6eec5.8 KB
    Loading...
  5. 2026-07-26auto-patch README.mdd0b7d7a4 KB
    Loading...
  6. 2026-07-26auto-patch README.mdf580c733 KB
    Loading...
  7. 2026-07-26uploaded from nico1a0c9452500 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration