← back to catalog · registered 2026-08-22 13:56

mradermacher/gpt4o-distil-paperwitch-abliteration-L33-70b-i1-GGUF

mradermacher Llama 70B GGUF second-order 131K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2Fgpt4o-distil-paperwitch-abliteration-L33-70b-i1-GGUF"
Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 40,616
  • author_summary 3324 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

No other method signals detected in this model.
Confidence
HIGH
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)
  • is_gguf=1
  • base_model='KaraKaraModel/gpt4o-distil-paperwitch-abliteration-L33-70b' (source unknown method)
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
41K
995 last 30d - cooling
Likes
1
Model age
7mo ago
created 2026-02-27
Downloads over time
Now40.9K→from2.4K↑1,600%
48215.2K30K44.8K2.4K on Feb 2540.9K on Oct 11FebAprJunAugOct
Feb 25 → Oct 11 · 72 snapshots · spans 228 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 · 1K 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 heretic uncensored abliterated llama-3 en base_model:KaraKaraModel/gpt4o-distil-paperwitch-abliteration-L33-70b base_model:quantized:KaraKaraModel/gpt4o-distil-paperwitch-abliteration-L33-70b license:other endpoints_compatible region:us

Related

Total size
701 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-08-20 10:01

Files by quantization

Q6_K 1 file 53.9 GB
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q6_K.gguf 53.9 GB fb6239a8 download
Q5_K 2 files 91.8 GB
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q5_K_M.gguf 46.5 GB 34588b8a download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q5_K_S.gguf 45.3 GB a0f11e17 download
Q4 2 files 78.6 GB
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q4_1.gguf 41.3 GB d6019c5b download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q4_0.gguf 37.4 GB 8592a1f5 download
Q4_K 2 files 77.2 GB
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q4_K_M.gguf 39.6 GB 3386cfd0 download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q4_K_S.gguf 37.6 GB da44eeac download
IQ4 1 file 35.3 GB
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-IQ4_XS.gguf 35.3 GB 5fa0e636 download
Q3_K 3 files 95.3 GB
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q3_K_L.gguf 34.6 GB f163f516 download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q3_K_M.gguf 31.9 GB ec732ec9 download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q3_K_S.gguf 28.8 GB 474e4ca0 download
IQ3 4 files 111 GB
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-IQ3_M.gguf 29.7 GB 35fddadf download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-IQ3_S.gguf 28.8 GB 687e991d download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-IQ3_XS.gguf 27.3 GB 8e402907 download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-IQ3_XXS.gguf 25.6 GB 0907b172 download
Q2_K 2 files 47.4 GB
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q2_K.gguf 24.6 GB 2423a9d9 download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-Q2_K_S.gguf 22.8 GB 9986a0fd download
IQ2 4 files 80.7 GB
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-IQ2_M.gguf 22.5 GB fa6c42a3 download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-IQ2_S.gguf 20.7 GB fcc2dab2 download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-IQ2_XS.gguf 19.7 GB 995425b4 download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-IQ2_XXS.gguf 17.8 GB 9364bee6 download
IQ1 2 files 29.9 GB
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-IQ1_M.gguf 15.6 GB 7287eff4 download
gpt4o-distil-paperwitch-abliteration-L33-70b.i1-IQ1_S.gguf 14.3 GB c860a7e0 download
Auxiliary files 3 files 23.8 MB
gpt4o-distil-paperwitch-abliteration-L33-70b.imatrix.gguf 23.8 MB c0a16b7e download
README.md 7.16 KB fb51fdd3 download
.gitattributes 3.72 KB f7d5ae75 download

README current version from Hugging Face


base_model: KaraKaraModel/gpt4o-distil-paperwitch-abliteration-L33-70b
language:

  • en
    library_name: transformers
    license: other
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • heretic
  • uncensored
  • abliterated
  • llama-3

About

weighted/imatrix quants of https://huggingface.co/KaraKaraModel/gpt4o-distil-paperwitch-abliteration-L33-70b

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

static quants are available at https://huggingface.co/mradermacher/gpt4o-distil-paperwitch-abliteration-L33-70b-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 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 50.0
GGUF 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 18 versions

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

  1. 2026-08-20auto-patch README.md4e509dc7.2 KB
    Loading...
  2. 2026-02-28auto-patch README.mda559b207.2 KB
    Loading...
  3. 2026-02-28auto-patch README.mdf639c097 KB
    Loading...
  4. 2026-02-28auto-patch README.md877db876.6 KB
    Loading...
  5. 2026-02-28auto-patch README.md4962fd76.2 KB
    Loading...
  6. 2026-02-28auto-patch README.mdb8e8f345.8 KB
    Loading...
  7. 2026-02-28auto-patch README.md734ee9d5.6 KB
    Loading...
  8. 2026-02-28auto-patch README.md89239e95.4 KB
    Loading...
  9. 2026-02-28auto-patch README.md26a3fb65 KB
    Loading...
  10. 2026-02-28auto-patch README.md506ec024.6 KB
    Loading...
  11. 2026-02-28auto-patch README.md82fd7784.4 KB
    Loading...
  12. 2026-02-28auto-patch README.md01992284 KB
    Loading...
  13. 2026-02-28auto-patch README.md29ed4953.6 KB
    Loading...
  14. 2026-02-28auto-patch README.md71003493.4 KB
    Loading...
  15. 2026-02-27auto-patch README.mdd469f823.2 KB
    Loading...
  16. 2026-02-27auto-patch README.md655bafd2.9 KB
    Loading...
  17. 2026-02-27auto-patch README.md6adbdba2.5 KB
    Loading...
  18. 2026-02-27uploaded from marco2234a78504 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration