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mradermacher/llama3.1-8b-instruct-hasanpiker-abliterated-i1-GGUF

mradermacher Llama 8B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 2,966
  • 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='brianmatzelle/llama3.1-8b-instruct-hasanpiker-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.

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Downloads · lifetime
3K
678 last 30d - stable
Likes
1
Model age
19mo ago
created 2025-03-19
Downloads over time
Now3.1K→from550↑471%
4211.4K2.4K3.4K550 on Mar 19, 20253.1K on Oct 12Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 19, 2025 → Oct 12 · 122 snapshots · spans 572 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 · 929 downloads combined

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

Metadata

License
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf text-generation-inference unsloth llama trl sft en base_model:brianmatzelle/llama3.1-8b-instruct-hasanpiker-abliterated base_model:quantized:brianmatzelle/llama3.1-8b-instruct-hasanpiker-abliterated license:apache-2.0 endpoints_compatible

Related

Total size
87.4 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-11 08:35

Files by quantization

Q6_K 1 file 6.14 GB
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q6_K.gguf 6.14 GB 673574a1 download
Q5_K 2 files 10.6 GB
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q5_K_M.gguf 5.34 GB 936d13bf download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q5_K_S.gguf 5.21 GB b78250fc download
Q4 2 files 9.13 GB
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q4_1.gguf 4.78 GB 8c3c109a download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q4_0.gguf 4.35 GB 36c4f3a9 download
Q4_K 2 files 8.95 GB
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q4_K_M.gguf 4.58 GB a430461e download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q4_K_S.gguf 4.37 GB 0d5f8cf7 download
IQ4 2 files 8.50 GB
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ4_NL.gguf 4.36 GB 7b6dc382 download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ4_XS.gguf 4.14 GB 7cb3fb2d download
Q3_K 3 files 11.2 GB
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q3_K_L.gguf 4.03 GB 48db6f8a download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q3_K_M.gguf 3.74 GB 9ee8a486 download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q3_K_S.gguf 3.41 GB d6b28f81 download
IQ3 4 files 13.3 GB
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ3_M.gguf 3.52 GB 21e403a4 download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ3_S.gguf 3.43 GB 17f759d0 download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ3_XS.gguf 3.28 GB ab885940 download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ3_XXS.gguf 3.05 GB 60d6df68 download
Q2_K 2 files 5.74 GB
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q2_K.gguf 2.96 GB a6b9e5cf download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-Q2_K_S.gguf 2.78 GB a143ae56 download
IQ2 4 files 9.98 GB
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ2_M.gguf 2.75 GB 5ac24d21 download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ2_S.gguf 2.57 GB 2904b786 download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ2_XS.gguf 2.43 GB ba9933d8 download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ2_XXS.gguf 2.23 GB 1cf79a79 download
IQ1 2 files 3.89 GB
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ1_M.gguf 2.01 GB 6e816c10 download
llama3.1-8b-instruct-hasanpiker-abliterated.i1-IQ1_S.gguf 1.88 GB 95c9502f download
Auxiliary files 3 files 4.77 MB
imatrix.dat 4.76 MB 14cd5c3b download
README.md 6.86 KB 608b5afe download
.gitattributes 3.75 KB 8eded60d download

README current version from Hugging Face


base_model: brianmatzelle/llama3.1-8b-instruct-hasanpiker-abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-generation-inference
  • transformers
  • unsloth
  • llama
  • trl
  • sft

About

weighted/imatrix quants of https://huggingface.co/brianmatzelle/llama3.1-8b-instruct-hasanpiker-abliterated

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

static quants are available at https://huggingface.co/mradermacher/llama3.1-8b-instruct-hasanpiker-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 i1-IQ1_S 2.1 for the desperate
GGUF i1-IQ1_M 2.3 mostly desperate
GGUF i1-IQ2_XXS 2.5
GGUF i1-IQ2_XS 2.7
GGUF i1-IQ2_S 2.9
GGUF i1-IQ2_M 3.0
GGUF i1-Q2_K_S 3.1 very low quality
GGUF i1-Q2_K 3.3 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.4 lower quality
GGUF i1-IQ3_XS 3.6
GGUF i1-Q3_K_S 3.8 IQ3_XS probably better
GGUF i1-IQ3_S 3.8 beats Q3_K*
GGUF i1-IQ3_M 3.9
GGUF i1-Q3_K_M 4.1 IQ3_S probably better
GGUF i1-Q3_K_L 4.4 IQ3_M probably better
GGUF i1-IQ4_XS 4.5
GGUF i1-Q4_0 4.8 fast, low quality
GGUF i1-IQ4_NL 4.8 prefer IQ4_XS
GGUF i1-Q4_K_S 4.8 optimal size/speed/quality
GGUF i1-Q4_K_M 5.0 fast, recommended
GGUF i1-Q4_1 5.2
GGUF i1-Q5_K_S 5.7
GGUF i1-Q5_K_M 5.8
GGUF i1-Q6_K 6.7 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. 2025-07-11auto-patch README.mdfbb63fe6.9 KB
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  2. 2025-07-10auto-patch README.md2c2eb5e6.8 KB
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  3. 2025-03-19auto-patch README.md8389e976.7 KB
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  4. 2025-03-19uploaded from marcod8f4002265 B
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