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

mradermacher/MiniCPM-V-4.6-0.8B-Abliterated-i1-GGUF

mradermacher Qwen 800M 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-4.6-0.8B-Abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 3,917
  • 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='jduartedj/MiniCPM-V-4.6-0.8B-Abliterated' (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
748 last 30d - stable
Likes
0
Model age
4mo ago
created 2026-05-16
Downloads over time
Now4.1K→from2.9K↑42%
2.6K3.2K3.7K4.3K2.9K on May 204.1K 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 · 1K 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 zh
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf multimodal vision abliterated uncensored qwen3.5 minicpm vision-language edge mobile en

Related

Total size
10.2 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-05-16 13:10

Files by quantization

Q6_K 1 file 601 MB
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q6_K.gguf 601 MB aa4e4e76 download
Q5_K 2 files 1.06 GB
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q5_K_M.gguf 551 MB 2a5cee86 download
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q5_K_S.gguf 538 MB 8fd538da download
Q4 2 files 987 MB
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q4_1.gguf 508 MB 5a4fceb3 download
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q4_0.gguf 479 MB ea179048 download
Q4_K 2 files 987 MB
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q4_K_M.gguf 505 MB 88ec6d1b download
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q4_K_S.gguf 482 MB 9265c9d7 download
IQ4 2 files 973 MB
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ4_NL.gguf 492 MB c801d0c6 download
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ4_XS.gguf 481 MB b9a639e8 download
Q3_K 3 files 1.30 GB
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q3_K_L.gguf 469 MB 4a51122f download
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q3_K_M.gguf 445 MB a8fc002b download
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q3_K_S.gguf 415 MB 4b3a2b31 download
IQ3 4 files 1.63 GB
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ3_M.gguf 433 MB 5f031f75 download
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ3_S.gguf 430 MB 943a99ea download
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ3_XS.gguf 423 MB 7edbfd7f download
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ3_XXS.gguf 380 MB 0327dde6 download
Q2_K 2 files 798 MB
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q2_K.gguf 403 MB d0caf70b download
MiniCPM-V-4.6-0.8B-Abliterated.i1-Q2_K_S.gguf 395 MB 2a5ca127 download
IQ2 4 files 1.36 GB
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ2_M.gguf 360 MB 48d88094 download
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ2_S.gguf 350 MB 40edca19 download
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ2_XS.gguf 347 MB b1f7b28a download
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ2_XXS.gguf 336 MB 14593839 download
IQ1 2 files 637 MB
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ1_M.gguf 323 MB 02bf41f0 download
MiniCPM-V-4.6-0.8B-Abliterated.i1-IQ1_S.gguf 315 MB ad464803 download
Auxiliary files 3 files 1.09 MB
MiniCPM-V-4.6-0.8B-Abliterated.imatrix.gguf 1.08 MB 656a9cc1 download
README.md 6.82 KB 70ab9429 download
.gitattributes 3.47 KB 057454c8 download

README current version from Hugging Face


base_model: jduartedj/MiniCPM-V-4.6-0.8B-Abliterated
language:

  • en
  • zh
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • multimodal
  • vision
  • abliterated
  • uncensored
  • qwen3.5
  • minicpm
  • vision-language
  • edge
  • mobile

About

weighted/imatrix quants of https://huggingface.co/jduartedj/MiniCPM-V-4.6-0.8B-Abliterated

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

static quants are available at https://huggingface.co/mradermacher/MiniCPM-V-4.6-0.8B-Abliterated-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 0.4 for the desperate
GGUF i1-IQ1_M 0.4 mostly desperate
GGUF i1-IQ2_XXS 0.5
GGUF i1-IQ2_XS 0.5
GGUF i1-IQ2_S 0.5
GGUF i1-IQ2_M 0.5
GGUF i1-IQ3_XXS 0.5 lower quality
GGUF i1-Q2_K_S 0.5 very low quality
GGUF i1-Q2_K 0.5 IQ3_XXS probably better
GGUF i1-Q3_K_S 0.5 IQ3_XS probably better
GGUF i1-IQ3_XS 0.5
GGUF i1-IQ3_S 0.6 beats Q3_K*
GGUF i1-IQ3_M 0.6
GGUF i1-Q3_K_M 0.6 IQ3_S probably better
GGUF i1-Q3_K_L 0.6 IQ3_M probably better
GGUF i1-Q4_0 0.6 fast, low quality
GGUF i1-IQ4_XS 0.6
GGUF i1-Q4_K_S 0.6 optimal size/speed/quality
GGUF i1-IQ4_NL 0.6 prefer IQ4_XS
GGUF i1-Q4_K_M 0.6 fast, recommended
GGUF i1-Q4_1 0.6
GGUF i1-Q5_K_S 0.7
GGUF i1-Q5_K_M 0.7
GGUF i1-Q6_K 0.7 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 2 versions

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

  1. 2026-05-16auto-patch README.md7e00bbd6.8 KB
    Loading...
  2. 2026-05-16uploaded from nico128175f3486 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