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mradermacher/DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval-i1-GGUF

mradermacher Qwen 37B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 8,201
  • 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='cs2764/DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-novel' (base has 'abliterated' marker, assume M1 default)
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Downloads · lifetime
8K
305 last 30d - cooling
Likes
1
Model age
18mo ago
created 2025-03-24
Downloads over time
Now8.3K→from546↑1,418%
1593.1K6.1K9.1K546 on Mar 19, 20258.3K on Oct 11Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 19, 2025 → Oct 11 · 121 snapshots · spans 571 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 · 472 downloads combined

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

Metadata

License
other
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf llama-factory generated_from_trainer not-for-all-audiences en license:other endpoints_compatible region:us imatrix conversational

Related

Total size
366 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-04-13 22:35

Files by quantization

Q6_K 1 file 28.0 GB
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q6_K.gguf 28.0 GB 46264c2d download
Q5_K 2 files 47.8 GB
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q5_K_M.gguf 24.2 GB cc8f31f4 download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q5_K_S.gguf 23.6 GB c3c55a0f download
Q4 2 files 41.0 GB
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q4_1.gguf 21.5 GB df06627f download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q4_0.gguf 19.5 GB 3428f5a5 download
Q4_K 2 files 40.2 GB
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q4_K_M.gguf 20.7 GB 5efa07be download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q4_K_S.gguf 19.6 GB fa55fff4 download
IQ4 1 file 18.4 GB
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-IQ4_XS.gguf 18.4 GB 9a602a7b download
Q3_K 3 files 49.5 GB
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q3_K_L.gguf 18.0 GB 5be7277d download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q3_K_M.gguf 16.6 GB 073eb6f3 download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q3_K_S.gguf 15.0 GB e91e0659 download
IQ3 4 files 58.0 GB
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-IQ3_M.gguf 15.4 GB cb566f44 download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-IQ3_S.gguf 15.0 GB 97db6725 download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-IQ3_XS.gguf 14.2 GB 7c09db48 download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-IQ3_XXS.gguf 13.4 GB 064d214e download
Q2_K 2 files 24.7 GB
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q2_K.gguf 12.8 GB 7cae1526 download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-Q2_K_S.gguf 11.9 GB 6c3a5de4 download
IQ2 4 files 42.2 GB
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-IQ2_M.gguf 11.7 GB acfb8eef download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-IQ2_S.gguf 10.8 GB 3af7db02 download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-IQ2_XS.gguf 10.3 GB 86870035 download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-IQ2_XXS.gguf 9.37 GB 0d7f3e7f download
IQ1 2 files 15.7 GB
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-IQ1_M.gguf 8.22 GB 643c710d download
DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval.i1-IQ1_S.gguf 7.53 GB 29bac830 download
Auxiliary files 3 files 16.1 MB
imatrix.dat 16.0 MB c0ee3922 download
README.md 7.94 KB 02e9528f download
.gitattributes 4.35 KB 6bc51246 download

README current version from Hugging Face


base_model: cs2764/DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-novel
language:

  • en
    library_name: transformers
    license: other
    quantized_by: mradermacher
    tags:
  • llama-factory
  • generated_from_trainer
  • not-for-all-audiences

About

weighted/imatrix quants of https://huggingface.co/cs2764/DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-novel

static quants are available at https://huggingface.co/mradermacher/DavidAU_Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-H-noval-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 8.2 for the desperate
GGUF i1-IQ1_M 8.9 mostly desperate
GGUF i1-IQ2_XXS 10.2
GGUF i1-IQ2_XS 11.2
GGUF i1-IQ2_S 11.7
GGUF i1-IQ2_M 12.7
GGUF i1-Q2_K_S 12.9 very low quality
GGUF i1-Q2_K 13.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 14.4 lower quality
GGUF i1-IQ3_XS 15.4
GGUF i1-Q3_K_S 16.2 IQ3_XS probably better
GGUF i1-IQ3_S 16.2 beats Q3_K*
GGUF i1-IQ3_M 16.6
GGUF i1-Q3_K_M 17.9 IQ3_S probably better
GGUF i1-Q3_K_L 19.4 IQ3_M probably better
GGUF i1-IQ4_XS 19.9
GGUF i1-Q4_0 21.0 fast, low quality
GGUF i1-Q4_K_S 21.1 optimal size/speed/quality
GGUF i1-Q4_K_M 22.3 fast, recommended
GGUF i1-Q4_1 23.2
GGUF i1-Q5_K_S 25.4
GGUF i1-Q5_K_M 26.1
GGUF i1-Q6_K 30.2 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 6 versions

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

  1. 2025-04-13auto-patch README.md4a9cab97.9 KB
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  2. 2025-04-04auto-patch README.md49846f87.9 KB
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  3. 2025-04-02auto-patch README.md6a7d26c8 KB
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  4. 2025-03-25auto-patch README.md04f36957.9 KB
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  5. 2025-03-24auto-patch README.md88345cc7.9 KB
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  6. 2025-03-24uploaded from nico18b2e451289 B
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