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mradermacher/Qwen1.5-72B-Chat-abliterated-i1-GGUF

mradermacher Qwen 72B GGUF second-order 33K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FQwen1.5-72B-Chat-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 28
  • hub_downloads_all_time 24,207
  • 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='nicoboss/Qwen1.5-72B-Chat-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
24K
631 last 30d - cooling
Likes
0
Model age
14mo ago
created 2025-08-07
Downloads over time
Now24.3K→from21.3K↑14%
21.1K22.3K23.5K24.6K21.3K on Aug 6, 202524.3K on Oct 11Aug '25Oct '25Dec '25FebAprJunAugOct
Aug 6, 2025 → Oct 11 · 101 snapshots · spans 431 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 · 764 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 en base_model:nicoboss/Qwen1.5-72B-Chat-abliterated base_model:quantized:nicoboss/Qwen1.5-72B-Chat-abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
623 GB
Files
28
Quantizations
10
Registered
2026-08-22 13:56
Last updated on HF
2026-01-01 02:12

Files by quantization

Q5_K 1 file 46.5 GB
Qwen1.5-72B-Chat-abliterated.i1-Q5_K_S.gguf 46.5 GB 7ef9b7dd download
Q4 2 files 80.6 GB
Qwen1.5-72B-Chat-abliterated.i1-Q4_1.gguf 42.3 GB ea41aefa download
Qwen1.5-72B-Chat-abliterated.i1-Q4_0.gguf 38.3 GB ba819507 download
Q4_K 2 files 80.1 GB
Qwen1.5-72B-Chat-abliterated.i1-Q4_K_M.gguf 41.1 GB 1fd1da23 download
Qwen1.5-72B-Chat-abliterated.i1-Q4_K_S.gguf 39.0 GB b5c0085d download
IQ4 1 file 36.1 GB
Qwen1.5-72B-Chat-abliterated.i1-IQ4_XS.gguf 36.1 GB ca82e388 download
Q3_K 3 files 100.0 GB
Qwen1.5-72B-Chat-abliterated.i1-Q3_K_L.gguf 35.8 GB 1322d5a7 download
Qwen1.5-72B-Chat-abliterated.i1-Q3_K_M.gguf 33.5 GB f5efafbd download
Qwen1.5-72B-Chat-abliterated.i1-Q3_K_S.gguf 30.7 GB c79796cb download
IQ3 4 files 115 GB
Qwen1.5-72B-Chat-abliterated.i1-IQ3_M.gguf 31.6 GB aa35088a download
Qwen1.5-72B-Chat-abliterated.i1-IQ3_S.gguf 29.4 GB a5afb067 download
Qwen1.5-72B-Chat-abliterated.i1-IQ3_XS.gguf 27.9 GB 2333ab4f download
Qwen1.5-72B-Chat-abliterated.i1-IQ3_XXS.gguf 25.8 GB a69128b0 download
Q2_K 2 files 49.6 GB
Qwen1.5-72B-Chat-abliterated.i1-Q2_K.gguf 26.5 GB f494d681 download
Qwen1.5-72B-Chat-abliterated.i1-Q2_K_S.gguf 23.1 GB 48b05176 download
IQ2 4 files 83.9 GB
Qwen1.5-72B-Chat-abliterated.i1-IQ2_M.gguf 23.4 GB 7e389e88 download
Qwen1.5-72B-Chat-abliterated.i1-IQ2_S.gguf 21.8 GB 2fec7e16 download
Qwen1.5-72B-Chat-abliterated.i1-IQ2_XS.gguf 20.3 GB 348429df download
Qwen1.5-72B-Chat-abliterated.i1-IQ2_XXS.gguf 18.4 GB 28969ee9 download
IQ1 2 files 31.5 GB
Qwen1.5-72B-Chat-abliterated.i1-IQ1_M.gguf 16.4 GB 41e04686 download
Qwen1.5-72B-Chat-abliterated.i1-IQ1_S.gguf 15.1 GB 77bebf5e download
Auxiliary files 7 files 103 GB
Qwen1.5-72B-Chat-abliterated.imatrix.gguf 22.6 MB 933ff9ac download
Qwen1.5-72B-Chat-abliterated.i1-Q6_K.gguf.part1of2 28.0 GB 6e39091c download
Qwen1.5-72B-Chat-abliterated.i1-Q6_K.gguf.part2of2 27.2 GB 2e93c7cf download
Qwen1.5-72B-Chat-abliterated.i1-Q5_K_M.gguf.part1of2 24.0 GB 244aea63 download
Qwen1.5-72B-Chat-abliterated.i1-Q5_K_M.gguf.part2of2 23.8 GB 3ea0babe download
README.md 6.58 KB d2f2835b download
.gitattributes 3.53 KB f56372c3 download

README current version from Hugging Face


base_model: nicoboss/Qwen1.5-72B-Chat-abliterated
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/nicoboss/Qwen1.5-72B-Chat-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Qwen1.5-72B-Chat-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 16.3 for the desperate
GGUF i1-IQ1_M 17.7 mostly desperate
GGUF i1-IQ2_XXS 19.9
GGUF i1-IQ2_XS 21.8
GGUF i1-IQ2_S 23.5
GGUF i1-Q2_K_S 24.9 very low quality
GGUF i1-IQ2_M 25.3
GGUF i1-IQ3_XXS 27.8 lower quality
GGUF i1-Q2_K 28.6 IQ3_XXS probably better
GGUF i1-IQ3_XS 30.0
GGUF i1-IQ3_S 31.7 beats Q3_K*
GGUF i1-Q3_K_S 33.0 IQ3_XS probably better
GGUF i1-IQ3_M 34.0
GGUF i1-Q3_K_M 36.0 IQ3_S probably better
GGUF i1-Q3_K_L 38.6 IQ3_M probably better
GGUF i1-IQ4_XS 38.9
GGUF i1-Q4_0 41.2 fast, low quality
GGUF i1-Q4_K_S 42.0 optimal size/speed/quality
GGUF i1-Q4_K_M 44.2 fast, recommended
GGUF i1-Q4_1 45.5
GGUF i1-Q5_K_S 50.0
PART 1 PART 2 i1-Q5_K_M 51.4
PART 1 PART 2 i1-Q6_K 59.4 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 3 versions

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

  1. 2026-01-01auto-patch README.mdfd222c56.6 KB
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  2. 2025-08-08auto-patch README.md6a722d66.6 KB
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  3. 2025-08-07uploaded from marcoa7a1484482 B
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