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mradermacher/magnum-v4-9b-abliterated-i1-GGUF

mradermacher 9B GGUF second-order 8K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 9,944
  • 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='Naphula/magnum-v4-9b-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
10K
1K last 30d - stable
Likes
1
Model age
10mo ago
created 2025-11-21

Training 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
Now10.3K→from2.4K↑335%
2K5K8.1K11.1K2.4K on Nov 19, 202510.3K on Oct 12Nov '25JanMarMayJulSep
Nov 19, 2025 → Oct 12 · 87 snapshots · spans 327 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
gemma
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf creative creative-writing en dataset:anthracite-org/c2_logs_16k_llama_v1.1 dataset:NewEden/Claude-Instruct-5K dataset:anthracite-org/kalo-opus-instruct-22k-no-refusal dataset:Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned dataset:lodrick-the-lafted/kalo-opus-instruct-3k-filtered dataset:anthracite-org/nopm_claude_writing_fixed dataset:Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned

Related

Total size
102 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-06 12:34

Files by quantization

Q6_K 1 file 7.07 GB
magnum-v4-9b-abliterated.i1-Q6_K.gguf 7.07 GB 42ea58fd download
Q5_K 2 files 12.2 GB
magnum-v4-9b-abliterated.i1-Q5_K_M.gguf 6.19 GB 77a341aa download
magnum-v4-9b-abliterated.i1-Q5_K_S.gguf 6.04 GB 10ed505d download
Q4 2 files 10.6 GB
magnum-v4-9b-abliterated.i1-Q4_1.gguf 5.55 GB e355e17b download
magnum-v4-9b-abliterated.i1-Q4_0.gguf 5.08 GB 03ebff54 download
Q4_K 2 files 10.5 GB
magnum-v4-9b-abliterated.i1-Q4_K_M.gguf 5.37 GB 617f6356 download
magnum-v4-9b-abliterated.i1-Q4_K_S.gguf 5.10 GB e42123e7 download
IQ4 2 files 9.90 GB
magnum-v4-9b-abliterated.i1-IQ4_NL.gguf 5.07 GB df0992a5 download
magnum-v4-9b-abliterated.i1-IQ4_XS.gguf 4.83 GB 12ca4c17 download
Q3_K 3 files 13.3 GB
magnum-v4-9b-abliterated.i1-Q3_K_L.gguf 4.78 GB 4524d9d0 download
magnum-v4-9b-abliterated.i1-Q3_K_M.gguf 4.43 GB 2b42e259 download
magnum-v4-9b-abliterated.i1-Q3_K_S.gguf 4.04 GB 096c991b download
IQ3 4 files 15.6 GB
magnum-v4-9b-abliterated.i1-IQ3_M.gguf 4.19 GB e3566eb9 download
magnum-v4-9b-abliterated.i1-IQ3_S.gguf 4.04 GB 757e7936 download
magnum-v4-9b-abliterated.i1-IQ3_XS.gguf 3.86 GB e896723f download
magnum-v4-9b-abliterated.i1-IQ3_XXS.gguf 3.54 GB cbdcdc5b download
Q2_K 2 files 6.85 GB
magnum-v4-9b-abliterated.i1-Q2_K.gguf 3.54 GB 99603a82 download
magnum-v4-9b-abliterated.i1-Q2_K_S.gguf 3.31 GB 2953440b download
IQ2 4 files 11.7 GB
magnum-v4-9b-abliterated.i1-IQ2_M.gguf 3.20 GB b29a7aba download
magnum-v4-9b-abliterated.i1-IQ2_S.gguf 2.99 GB 292d33a6 download
magnum-v4-9b-abliterated.i1-IQ2_XS.gguf 2.86 GB b8706434 download
magnum-v4-9b-abliterated.i1-IQ2_XXS.gguf 2.63 GB 41281ed4 download
IQ1 2 files 4.59 GB
magnum-v4-9b-abliterated.i1-IQ1_M.gguf 2.37 GB 52b82bee download
magnum-v4-9b-abliterated.i1-IQ1_S.gguf 2.22 GB 2ecddfc6 download
Auxiliary files 3 files 5.88 MB
magnum-v4-9b-abliterated.imatrix.gguf 5.87 MB d4fb574c download
README.md 6.65 KB 5e0714d0 download
.gitattributes 3.33 KB 9115e333 download

README current version from Hugging Face


base_model: Naphula/magnum-v4-9b-abliterated
datasets:

  • anthracite-org/c2_logs_16k_llama_v1.1
  • NewEden/Claude-Instruct-5K
  • anthracite-org/kalo-opus-instruct-22k-no-refusal
  • Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
  • lodrick-the-lafted/kalo-opus-instruct-3k-filtered
  • anthracite-org/nopm_claude_writing_fixed
  • Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
  • anthracite-org/kalo_opus_misc_240827
  • anthracite-org/kalo_misc_part2
    language:
  • en
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • creative
  • creative-writing

About

weighted/imatrix quants of https://huggingface.co/Naphula/magnum-v4-9b-abliterated

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

static quants are available at https://huggingface.co/mradermacher/magnum-v4-9b-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 2.5 for the desperate
GGUF i1-IQ1_M 2.6 mostly desperate
GGUF i1-IQ2_XXS 2.9
GGUF i1-IQ2_XS 3.2
GGUF i1-IQ2_S 3.3
GGUF i1-IQ2_M 3.5
GGUF i1-Q2_K_S 3.7 very low quality
GGUF i1-IQ3_XXS 3.9 lower quality
GGUF i1-Q2_K 3.9 IQ3_XXS probably better
GGUF i1-IQ3_XS 4.2
GGUF i1-IQ3_S 4.4 beats Q3_K*
GGUF i1-Q3_K_S 4.4 IQ3_XS probably better
GGUF i1-IQ3_M 4.6
GGUF i1-Q3_K_M 4.9 IQ3_S probably better
GGUF i1-Q3_K_L 5.2 IQ3_M probably better
GGUF i1-IQ4_XS 5.3
GGUF i1-IQ4_NL 5.5 prefer IQ4_XS
GGUF i1-Q4_0 5.6 fast, low quality
GGUF i1-Q4_K_S 5.6 optimal size/speed/quality
GGUF i1-Q4_K_M 5.9 fast, recommended
GGUF i1-Q4_1 6.1
GGUF i1-Q5_K_S 6.6
GGUF i1-Q5_K_M 6.7
GGUF i1-Q6_K 7.7 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 4 versions

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

  1. 2025-12-06auto-patch README.md8a43cc16.6 KB
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  2. 2025-11-21auto-patch README.mddc8f7256.6 KB
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  3. 2025-11-21auto-patch README.md9cd47bb3.3 KB
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  4. 2025-11-21uploaded from marco4ce09ff478 B
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