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

mradermacher/Huihui-HY-MT1.5-1.8B-abliterated-i1-GGUF

mradermacher 1.8B GGUF second-order 262K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FHuihui-HY-MT1.5-1.8B-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 8,084
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of layer-wise ablation 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='huihui-ai/Huihui-HY-MT1.5-1.8B-abliterated' (base is huihui-ai model (M3))
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
8K
896 last 30d - stable
Likes
2
Model age
9mo ago
created 2026-01-05
Downloads over time
Now8.3K→from2.2K↑267%
1.9K4.3K6.6K8.9K2.2K on Jan 78.3K on Oct 11JanMarMayJulSep
Jan 7 → Oct 11 · 79 snapshots · spans 277 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 · 3K downloads combined

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

Metadata

Languages
zh en fr pt es ja tr ru ar ko th it de vi ms id tl hi pl cs nl km my fa gu ur te mr he bn ta uk bo kk mn ug
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf translation abliterated uncensored zh en fr pt es ja tr

Related

Total size
20.5 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-01-05 08:40

Files by quantization

Q6_K 1 file 1.37 GB
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q6_K.gguf 1.37 GB 8b91ae75 download
Q5_K 2 files 2.39 GB
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q5_K_M.gguf 1.21 GB faf1c59f download
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q5_K_S.gguf 1.18 GB af23f0ec download
Q4 2 files 2.10 GB
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q4_1.gguf 1.09 GB b0e5a26d download
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q4_0.gguf 1.01 GB 3bc86689 download
Q4_K 2 files 2.06 GB
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q4_K_M.gguf 1.06 GB 5f6d6dbc download
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q4_K_S.gguf 1.01 GB 9bf4d484 download
IQ4 2 files 1.97 GB
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ4_NL.gguf 1.01 GB f33a3106 download
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ4_XS.gguf 986 MB 7b21efe2 download
Q3_K 3 files 2.65 GB
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q3_K_L.gguf 972 MB 599b40a6 download
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q3_K_M.gguf 907 MB 1a56b2f0 download
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q3_K_S.gguf 831 MB e265a378 download
IQ3 4 files 3.15 GB
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ3_M.gguf 859 MB ca267b18 download
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ3_S.gguf 836 MB f81d2d89 download
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ3_XS.gguf 801 MB da0c8881 download
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ3_XXS.gguf 733 MB c7c0ffdd download
Q2_K 2 files 1.41 GB
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q2_K.gguf 741 MB deb4fe25 download
Huihui-HY-MT1.5-1.8B-abliterated.i1-Q2_K_S.gguf 701 MB f85d93be download
IQ2 4 files 2.40 GB
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ2_M.gguf 666 MB a67f6abd download
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ2_S.gguf 627 MB 2e0ad6d6 download
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ2_XS.gguf 604 MB bcb85a71 download
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ2_XXS.gguf 560 MB fea8c8fd download
IQ1 2 files 992 MB
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ1_M.gguf 511 MB 0129f627 download
Huihui-HY-MT1.5-1.8B-abliterated.i1-IQ1_S.gguf 481 MB 6c51c1c9 download
Auxiliary files 3 files 2.29 MB
Huihui-HY-MT1.5-1.8B-abliterated.imatrix.gguf 2.28 MB b7d1e476 download
README.md 6.85 KB c962a1a5 download
.gitattributes 3.52 KB ed2b8970 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-HY-MT1.5-1.8B-abliterated
language:

  • zh
  • en
  • fr
  • pt
  • es
  • ja
  • tr
  • ru
  • ar
  • ko
  • th
  • it
  • de
  • vi
  • ms
  • id
  • tl
  • hi
  • pl
  • cs
  • nl
  • km
  • my
  • fa
  • gu
  • ur
  • te
  • mr
  • he
  • bn
  • ta
  • uk
  • bo
  • kk
  • mn
  • ug
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • translation
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-HY-MT1.5-1.8B-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Huihui-HY-MT1.5-1.8B-abliterated-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 imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 0.6 for the desperate
GGUF i1-IQ1_M 0.6 mostly desperate
GGUF i1-IQ2_XXS 0.7
GGUF i1-IQ2_XS 0.7
GGUF i1-IQ2_S 0.8
GGUF i1-IQ2_M 0.8
GGUF i1-Q2_K_S 0.8 very low quality
GGUF i1-IQ3_XXS 0.9 lower quality
GGUF i1-Q2_K 0.9 IQ3_XXS probably better
GGUF i1-IQ3_XS 0.9
GGUF i1-Q3_K_S 1.0 IQ3_XS probably better
GGUF i1-IQ3_S 1.0 beats Q3_K*
GGUF i1-IQ3_M 1.0
GGUF i1-Q3_K_M 1.1 IQ3_S probably better
GGUF i1-Q3_K_L 1.1 IQ3_M probably better
GGUF i1-IQ4_XS 1.1
GGUF i1-Q4_0 1.2 fast, low quality
GGUF i1-IQ4_NL 1.2 prefer IQ4_XS
GGUF i1-Q4_K_S 1.2 optimal size/speed/quality
GGUF i1-Q4_K_M 1.2 fast, recommended
GGUF i1-Q4_1 1.3
GGUF i1-Q5_K_S 1.4
GGUF i1-Q5_K_M 1.4
GGUF i1-Q6_K 1.6 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. 2026-01-05auto-patch README.md573095e6.9 KB
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  2. 2026-01-05uploaded from rich14799e86488 B
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