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mradermacher/Baichuan-M2-32B-abliterated-i1-GGUF

mradermacher 32B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 20,072
  • author_summary 3328 models
  • readme_text full
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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='nicoboss/Baichuan-M2-32B-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
20K
1K last 30d - cooling
Likes
0
Model age
14mo ago
created 2025-08-13
Downloads over time
Now20.4K→from12.5K↑63%
12.1K15.1K18.1K21.2K12.5K on Aug 13, 202520.4K on Oct 12Aug '25Oct '25Dec '25FebAprJunAugOct
Aug 13, 2025 → Oct 12 · 101 snapshots · spans 425 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

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf en base_model:nicoboss/Baichuan-M2-32B-abliterated base_model:quantized:nicoboss/Baichuan-M2-32B-abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
327 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-09 03:24

Files by quantization

Q6_K 1 file 25.0 GB
Baichuan-M2-32B-abliterated.i1-Q6_K.gguf 25.0 GB 41702432 download
Q5_K 2 files 42.7 GB
Baichuan-M2-32B-abliterated.i1-Q5_K_M.gguf 21.7 GB 9c9748e6 download
Baichuan-M2-32B-abliterated.i1-Q5_K_S.gguf 21.1 GB f08eb817 download
Q4 2 files 36.6 GB
Baichuan-M2-32B-abliterated.i1-Q4_1.gguf 19.2 GB a7ef4457 download
Baichuan-M2-32B-abliterated.i1-Q4_0.gguf 17.4 GB 427b1ce8 download
Q4_K 2 files 36.0 GB
Baichuan-M2-32B-abliterated.i1-Q4_K_M.gguf 18.5 GB 621d869d download
Baichuan-M2-32B-abliterated.i1-Q4_K_S.gguf 17.5 GB 80ebeec1 download
IQ4 1 file 16.5 GB
Baichuan-M2-32B-abliterated.i1-IQ4_XS.gguf 16.5 GB eace8245 download
Q3_K 3 files 44.3 GB
Baichuan-M2-32B-abliterated.i1-Q3_K_L.gguf 16.1 GB 68791ca5 download
Baichuan-M2-32B-abliterated.i1-Q3_K_M.gguf 14.8 GB a182fef5 download
Baichuan-M2-32B-abliterated.i1-Q3_K_S.gguf 13.4 GB f1d67c09 download
IQ3 4 files 52.0 GB
Baichuan-M2-32B-abliterated.i1-IQ3_M.gguf 13.8 GB d8357563 download
Baichuan-M2-32B-abliterated.i1-IQ3_S.gguf 13.4 GB 2cce87b1 download
Baichuan-M2-32B-abliterated.i1-IQ3_XS.gguf 12.8 GB 42c19e29 download
Baichuan-M2-32B-abliterated.i1-IQ3_XXS.gguf 12.0 GB c8b4edf9 download
Q2_K 2 files 22.2 GB
Baichuan-M2-32B-abliterated.i1-Q2_K.gguf 11.5 GB 0d640fd8 download
Baichuan-M2-32B-abliterated.i1-Q2_K_S.gguf 10.7 GB 9532d4c3 download
IQ2 4 files 37.8 GB
Baichuan-M2-32B-abliterated.i1-IQ2_M.gguf 10.5 GB 28bb94de download
Baichuan-M2-32B-abliterated.i1-IQ2_S.gguf 9.67 GB e4e02041 download
Baichuan-M2-32B-abliterated.i1-IQ2_XS.gguf 9.27 GB 09b576a5 download
Baichuan-M2-32B-abliterated.i1-IQ2_XXS.gguf 8.41 GB 679343af download
IQ1 2 files 14.2 GB
Baichuan-M2-32B-abliterated.i1-IQ1_M.gguf 7.39 GB 29d68150 download
Baichuan-M2-32B-abliterated.i1-IQ1_S.gguf 6.77 GB 093406fa download
Auxiliary files 3 files 14.3 MB
Baichuan-M2-32B-abliterated.imatrix.gguf 14.3 MB a082a023 download
README.md 6.22 KB 4e0f6795 download
.gitattributes 3.32 KB e4081b8f download

README current version from Hugging Face


base_model: nicoboss/Baichuan-M2-32B-abliterated
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/nicoboss/Baichuan-M2-32B-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Baichuan-M2-32B-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 7.4 for the desperate
GGUF i1-IQ1_M 8.0 mostly desperate
GGUF i1-IQ2_XXS 9.1
GGUF i1-IQ2_XS 10.1
GGUF i1-IQ2_S 10.5
GGUF i1-IQ2_M 11.4
GGUF i1-Q2_K_S 11.6 very low quality
GGUF i1-Q2_K 12.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 12.9 lower quality
GGUF i1-IQ3_XS 13.8
GGUF i1-Q3_K_S 14.5 IQ3_XS probably better
GGUF i1-IQ3_S 14.5 beats Q3_K*
GGUF i1-IQ3_M 14.9
GGUF i1-Q3_K_M 16.0 IQ3_S probably better
GGUF i1-Q3_K_L 17.3 IQ3_M probably better
GGUF i1-IQ4_XS 17.8
GGUF i1-Q4_0 18.8 fast, low quality
GGUF i1-Q4_K_S 18.9 optimal size/speed/quality
GGUF i1-Q4_K_M 20.0 fast, recommended
GGUF i1-Q4_1 20.7
GGUF i1-Q5_K_S 22.7
GGUF i1-Q5_K_M 23.4
GGUF i1-Q6_K 27.0 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 3 versions

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

  1. 2025-12-09auto-patch README.mda0484f46.2 KB
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  2. 2025-08-13auto-patch README.md2b5a8ce6.2 KB
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  3. 2025-08-13uploaded from marco58426cf481 B
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Discussions 1 thread

  1. 2025-08-30File nameclosed2 💬#1
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