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

mradermacher/MiniCPM-V-4.6-abliterated-MAX-GGUF

mradermacher 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%2FMiniCPM-V-4.6-abliterated-MAX-GGUF"
Response includes
  • classification m8
  • files 16
  • hub_downloads_all_time 3,843
  • 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='prithivMLmods/MiniCPM-V-4.6-abliterated-MAX' (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
4K
902 last 30d - stable
Likes
1
Model age
4mo ago
created 2026-05-18

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
Now4.2K→from1.3K↑230%
7822K3.3K4.5K1.3K on May 204.2K on Oct 11MayJunJulAugSepOct
May 20 → Oct 11 · 60 snapshots · spans 144 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 · 2K downloads combined

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

Metadata

License
apache-2.0
Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf minicpm-v multimodal On-Device Model max text-generation-inference reasoning pytorch uncensored abliterated unfiltered

Related

Total size
6.94 GB
Files
16
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-10-08 22:12

Files by quantization

F16 2 files 2.44 GB
MiniCPM-V-4.6-abliterated-MAX.f16.gguf 1.41 GB 64f4624d download
MiniCPM-V-4.6-abliterated-MAX.mmproj-f16.gguf 1.03 GB 7ae1f747 download
Q8_0 2 files 1.43 GB
MiniCPM-V-4.6-abliterated-MAX.Q8_0.gguf 774 MB 1883b6d4 download
MiniCPM-V-4.6-abliterated-MAX.mmproj-Q8_0.gguf 694 MB 8cf65112 download
Q6_K 1 file 600 MB
MiniCPM-V-4.6-abliterated-MAX.Q6_K.gguf 600 MB 5b7dcda7 download
Q5_K 2 files 1.06 GB
MiniCPM-V-4.6-abliterated-MAX.Q5_K_M.gguf 551 MB 66bdd219 download
MiniCPM-V-4.6-abliterated-MAX.Q5_K_S.gguf 537 MB 36036fb3 download
Q4_K 2 files 986 MB
MiniCPM-V-4.6-abliterated-MAX.Q4_K_M.gguf 505 MB f1273b3b download
MiniCPM-V-4.6-abliterated-MAX.Q4_K_S.gguf 482 MB 2023f79e download
IQ4 1 file 482 MB
MiniCPM-V-4.6-abliterated-MAX.IQ4_XS.gguf 482 MB c8d4ab65 download
Q3_K 3 files 1.30 GB
MiniCPM-V-4.6-abliterated-MAX.Q3_K_L.gguf 468 MB 11dfe38c download
MiniCPM-V-4.6-abliterated-MAX.Q3_K_M.gguf 444 MB b7f8eb55 download
MiniCPM-V-4.6-abliterated-MAX.Q3_K_S.gguf 415 MB 5f0c2f76 download
Q2_K 1 file 403 MB
MiniCPM-V-4.6-abliterated-MAX.Q2_K.gguf 403 MB 354bc680 download
Auxiliary files 2 files 6.95 KB
README.md 4.40 KB 2edbd6c5 download
.gitattributes 2.55 KB 53ed9070 download

README current version from Hugging Face


base_model: prithivMLmods/MiniCPM-V-4.6-abliterated-MAX
datasets:

  • prithivMLmods/harm_bench
    language:
  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • minicpm-v
  • multimodal
  • On-Device Model
  • max
  • text-generation-inference
  • reasoning
  • pytorch
  • uncensored
  • abliterated
  • unfiltered
  • unredacted
  • refusal-ablated
  • alignment-modified

About

static quants of https://huggingface.co/prithivMLmods/MiniCPM-V-4.6-abliterated-MAX

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/MiniCPM-V-4.6-abliterated-MAX-i1-GGUF

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 Q2_K 0.5
GGUF Q3_K_S 0.5
GGUF Q3_K_M 0.6 lower quality
GGUF Q3_K_L 0.6
GGUF Q4_K_S 0.6 fast, recommended
GGUF IQ4_XS 0.6
GGUF Q4_K_M 0.6 fast, recommended
GGUF Q5_K_S 0.7
GGUF Q5_K_M 0.7
GGUF Q6_K 0.7 very good quality
GGUF mmproj-Q8_0 0.8 multi-modal supplement
GGUF Q8_0 0.9 fast, best quality
GGUF mmproj-f16 1.2 multi-modal supplement
GGUF f16 1.6 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.

README history 4 versions

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

  1. 2026-10-08auto-patch README.mdb9ff9844.6 KB
    Loading...
  2. 2026-05-18auto-patch README.mdaa540024.4 KB
    Loading...
  3. 2026-05-18auto-patch README.md9014b402.6 KB
    Loading...
  4. 2026-05-18uploaded from nico10bcef61386 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