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mradermacher/Arcee-Blitz-abliterated-i1-GGUF

mradermacher GGUF second-order 33K ctx
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Response includes
  • classification m8
  • files 25
  • hub_downloads_all_time 4,078
  • 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/Arcee-Blitz-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.

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Downloads · lifetime
4K
583 last 30d - stable
Likes
1
Model age
19mo ago
created 2025-03-03
Downloads over time
Now4.2K→from248↑1,599%
501.6K3.1K4.6K248 on Feb 26, 20254.2K on Oct 11Feb '25May '25Aug '25Nov '25FebMayAug
Feb 26, 2025 → Oct 11 · 124 snapshots · spans 592 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 · 825 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
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored en license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
236 GB
Files
25
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-03-03 06:00

Files by quantization

Q6_K 1 file 18.0 GB
Arcee-Blitz-abliterated.i1-Q6_K.gguf 18.0 GB cfef4898 download
Q5_K 2 files 30.8 GB
Arcee-Blitz-abliterated.i1-Q5_K_M.gguf 15.6 GB 057a6052 download
Arcee-Blitz-abliterated.i1-Q5_K_S.gguf 15.2 GB 5ff2e2ce download
Q4 2 files 26.4 GB
Arcee-Blitz-abliterated.i1-Q4_1.gguf 13.9 GB 2863213e download
Arcee-Blitz-abliterated.i1-Q4_0.gguf 12.6 GB 78619702 download
Q4_K 2 files 26.0 GB
Arcee-Blitz-abliterated.i1-Q4_K_M.gguf 13.3 GB 777a1c52 download
Arcee-Blitz-abliterated.i1-Q4_K_S.gguf 12.6 GB 1ac3cfc0 download
IQ4 1 file 11.9 GB
Arcee-Blitz-abliterated.i1-IQ4_XS.gguf 11.9 GB 93491476 download
Q3_K 3 files 31.9 GB
Arcee-Blitz-abliterated.i1-Q3_K_L.gguf 11.5 GB 43cf3b86 download
Arcee-Blitz-abliterated.i1-Q3_K_M.gguf 10.7 GB c497e91c download
Arcee-Blitz-abliterated.i1-Q3_K_S.gguf 9.69 GB efdc64f7 download
IQ3 4 files 37.5 GB
Arcee-Blitz-abliterated.i1-IQ3_M.gguf 9.92 GB 186fad75 download
Arcee-Blitz-abliterated.i1-IQ3_S.gguf 9.71 GB 3a863009 download
Arcee-Blitz-abliterated.i1-IQ3_XS.gguf 9.23 GB 15e50dcb download
Arcee-Blitz-abliterated.i1-IQ3_XXS.gguf 8.64 GB 4fb0ce1e download
Q2_K 2 files 16.0 GB
Arcee-Blitz-abliterated.i1-Q2_K.gguf 8.28 GB a39c3688 download
Arcee-Blitz-abliterated.i1-Q2_K_S.gguf 7.75 GB a6059784 download
IQ2 4 files 27.3 GB
Arcee-Blitz-abliterated.i1-IQ2_M.gguf 7.56 GB e608786b download
Arcee-Blitz-abliterated.i1-IQ2_S.gguf 6.96 GB 498a05fc download
Arcee-Blitz-abliterated.i1-IQ2_XS.gguf 6.71 GB 6bd64935 download
Arcee-Blitz-abliterated.i1-IQ2_XXS.gguf 6.10 GB d4a976ee download
IQ1 2 files 10.3 GB
Arcee-Blitz-abliterated.i1-IQ1_M.gguf 5.36 GB 9991496b download
Arcee-Blitz-abliterated.i1-IQ1_S.gguf 4.91 GB 897b1a1e download
Auxiliary files 2 files 8.63 KB
README.md 5.47 KB ae1dcd07 download
.gitattributes 3.16 KB b8e38c97 download

README current version from Hugging Face


base_model: huihui-ai/Arcee-Blitz-abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Arcee-Blitz-abliterated

static quants are available at https://huggingface.co/mradermacher/Arcee-Blitz-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 i1-IQ1_S 5.4 for the desperate
GGUF i1-IQ1_M 5.9 mostly desperate
GGUF i1-IQ2_XXS 6.6
GGUF i1-IQ2_XS 7.3
GGUF i1-IQ2_S 7.6
GGUF i1-IQ2_M 8.2
GGUF i1-Q2_K_S 8.4 very low quality
GGUF i1-Q2_K 9.0 IQ3_XXS probably better
GGUF i1-IQ3_XXS 9.4 lower quality
GGUF i1-IQ3_XS 10.0
GGUF i1-Q3_K_S 10.5 IQ3_XS probably better
GGUF i1-IQ3_S 10.5 beats Q3_K*
GGUF i1-IQ3_M 10.8
GGUF i1-Q3_K_M 11.6 IQ3_S probably better
GGUF i1-Q3_K_L 12.5 IQ3_M probably better
GGUF i1-IQ4_XS 12.9
GGUF i1-Q4_0 13.6 fast, low quality
GGUF i1-Q4_K_S 13.6 optimal size/speed/quality
GGUF i1-Q4_K_M 14.4 fast, recommended
GGUF i1-Q4_1 15.0
GGUF i1-Q5_K_S 16.4
GGUF i1-Q5_K_M 16.9
GGUF i1-Q6_K 19.4 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. 2025-03-03auto-patch README.mdb8c912c5.5 KB
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  2. 2025-03-03uploaded from nico1c4a5bfb241 B
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