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mradermacher/Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion-i1-GGUF

mradermacher Llama GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 1,759
  • 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 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='Nexesenex/Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion' (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.

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Downloads · lifetime
2K
590 last 30d - stable
Likes
0
Model age
17mo ago
created 2025-04-22
Downloads over time
Now1.9K→from0↑0%
06851.4K2.1K0 on Apr 16, 20251.9K on Oct 11Apr '25Jul '25Oct '25JanAprJulOct
Apr 16, 2025 → Oct 11 · 117 snapshots · spans 543 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 · 873 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
Tags
transformers gguf mergekit merge en base_model:Nexesenex/Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion base_model:quantized:Nexesenex/Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion endpoints_compatible region:us imatrix conversational

Related

Total size
648 GB
Files
27
Quantizations
10
Registered
2026-08-22 13:56
Last updated on HF
2025-07-11 04:47

Files by quantization

Q5_K 2 files 91.8 GB
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q5_K_M.gguf 46.5 GB bf948d6f download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q5_K_S.gguf 45.3 GB 76708681 download
Q4 2 files 78.6 GB
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q4_1.gguf 41.3 GB eb305a1d download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q4_0.gguf 37.4 GB 999d3e98 download
Q4_K 2 files 77.2 GB
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q4_K_M.gguf 39.6 GB a6453836 download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q4_K_S.gguf 37.6 GB b7b25fad download
IQ4 1 file 35.3 GB
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-IQ4_XS.gguf 35.3 GB c9678cf8 download
Q3_K 3 files 95.3 GB
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q3_K_L.gguf 34.6 GB 02f2fead download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q3_K_M.gguf 31.9 GB 8b682f2d download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q3_K_S.gguf 28.8 GB 9f6b11de download
IQ3 4 files 111 GB
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-IQ3_M.gguf 29.7 GB 15d39bcf download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-IQ3_S.gguf 28.8 GB 8bed1a39 download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-IQ3_XS.gguf 27.3 GB d795e128 download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-IQ3_XXS.gguf 25.6 GB bf5620af download
Q2_K 2 files 47.4 GB
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q2_K.gguf 24.6 GB 4595e424 download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q2_K_S.gguf 22.8 GB 351f27cb download
IQ2 4 files 80.7 GB
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-IQ2_M.gguf 22.5 GB 9d7cb0c5 download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-IQ2_S.gguf 20.7 GB 998c0e18 download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-IQ2_XS.gguf 19.7 GB 56f68a6c download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-IQ2_XXS.gguf 17.8 GB 3eb08830 download
IQ1 2 files 29.9 GB
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-IQ1_M.gguf 15.6 GB f6ba81de download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-IQ1_S.gguf 14.3 GB 8cd27045 download
Auxiliary files 5 files 53.9 GB
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q6_K.gguf.part1of2 27.0 GB 6eee46bd download
Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion.i1-Q6_K.gguf.part2of2 26.9 GB 990dea75 download
imatrix.dat 23.8 MB 7fbc9bb7 download
README.md 7.29 KB 38aa8611 download
.gitattributes 4.00 KB bbbe5d16 download

README current version from Hugging Face


base_model: Nexesenex/Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • mergekit
  • merge

About

weighted/imatrix quants of https://huggingface.co/Nexesenex/Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion

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

static quants are available at https://huggingface.co/mradermacher/Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion-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 15.4 for the desperate
GGUF i1-IQ1_M 16.9 mostly desperate
GGUF i1-IQ2_XXS 19.2
GGUF i1-IQ2_XS 21.2
GGUF i1-IQ2_S 22.3
GGUF i1-IQ2_M 24.2
GGUF i1-Q2_K_S 24.6 very low quality
GGUF i1-Q2_K 26.5 IQ3_XXS probably better
GGUF i1-IQ3_XXS 27.6 lower quality
GGUF i1-IQ3_XS 29.4
GGUF i1-IQ3_S 31.0 beats Q3_K*
GGUF i1-Q3_K_S 31.0 IQ3_XS probably better
GGUF i1-IQ3_M 32.0
GGUF i1-Q3_K_M 34.4 IQ3_S probably better
GGUF i1-Q3_K_L 37.2 IQ3_M probably better
GGUF i1-IQ4_XS 38.0
GGUF i1-Q4_0 40.2 fast, low quality
GGUF i1-Q4_K_S 40.4 optimal size/speed/quality
GGUF i1-Q4_K_M 42.6 fast, recommended
GGUF i1-Q4_1 44.4
GGUF i1-Q5_K_S 48.8
GGUF i1-Q5_K_M 50.1
PART 1 PART 2 i1-Q6_K 58.0 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 4 versions

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

  1. 2025-07-11auto-patch README.md885a17c7.3 KB
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  2. 2025-07-10auto-patch README.mdb7d495a7.3 KB
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  3. 2025-04-23auto-patch README.mda95a6ce7.1 KB
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  4. 2025-04-22uploaded from nico2e0725bd271 B
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