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mradermacher/Llama-3-8B-Instruct-abliterated-v2-i1-GGUF

mradermacher Llama 8B GGUF second-order 8K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m8
  • files 24
  • hub_downloads_all_time 19,515
  • 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='QuixiAI/Llama-3-8B-Instruct-abliterated-v2' (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
20K
2K last 30d - stable
Likes
2
Model age
2.4y ago
created 2024-05-12
Downloads over time
Now20.1K→from272↑7,282%
07.4K14.7K22.1K272 on Jul 24, 202420.1K on Oct 11Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 158 snapshots · spans 809 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 · 3K downloads combined

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

Metadata

License
llama3
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf en base_model:QuixiAI/Llama-3-8B-Instruct-abliterated-v2 base_model:quantized:QuixiAI/Llama-3-8B-Instruct-abliterated-v2 license:llama3 endpoints_compatible region:us imatrix conversational

Related

Total size
75.4 GB
Files
24
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-15 12:03

Files by quantization

Q6_K 1 file 6.14 GB
Llama-3-8B-Instruct-abliterated-v2.i1-Q6_K.gguf 6.14 GB 0142d60e download
Q5_K 2 files 10.6 GB
Llama-3-8B-Instruct-abliterated-v2.i1-Q5_K_M.gguf 5.34 GB 9c7ce40f download
Llama-3-8B-Instruct-abliterated-v2.i1-Q5_K_S.gguf 5.21 GB a297f5f2 download
Q4_K 2 files 8.95 GB
Llama-3-8B-Instruct-abliterated-v2.i1-Q4_K_M.gguf 4.58 GB 3fcc2d4b download
Llama-3-8B-Instruct-abliterated-v2.i1-Q4_K_S.gguf 4.37 GB 4bba0ef4 download
Q4 1 file 4.35 GB
Llama-3-8B-Instruct-abliterated-v2.i1-Q4_0.gguf 4.35 GB c6cdb53d download
IQ4 1 file 4.14 GB
Llama-3-8B-Instruct-abliterated-v2.i1-IQ4_XS.gguf 4.14 GB 03a01a40 download
Q3_K 3 files 11.2 GB
Llama-3-8B-Instruct-abliterated-v2.i1-Q3_K_L.gguf 4.03 GB 2702b162 download
Llama-3-8B-Instruct-abliterated-v2.i1-Q3_K_M.gguf 3.74 GB a68c1c21 download
Llama-3-8B-Instruct-abliterated-v2.i1-Q3_K_S.gguf 3.41 GB 01eafd8a download
IQ3 4 files 13.3 GB
Llama-3-8B-Instruct-abliterated-v2.i1-IQ3_M.gguf 3.52 GB 0a77a032 download
Llama-3-8B-Instruct-abliterated-v2.i1-IQ3_S.gguf 3.43 GB e82624a4 download
Llama-3-8B-Instruct-abliterated-v2.i1-IQ3_XS.gguf 3.28 GB 7032f83d download
Llama-3-8B-Instruct-abliterated-v2.i1-IQ3_XXS.gguf 3.05 GB ffb56bb1 download
Q2_K 1 file 2.96 GB
Llama-3-8B-Instruct-abliterated-v2.i1-Q2_K.gguf 2.96 GB 758a1edd download
IQ2 4 files 9.98 GB
Llama-3-8B-Instruct-abliterated-v2.i1-IQ2_M.gguf 2.75 GB 599d4ca4 download
Llama-3-8B-Instruct-abliterated-v2.i1-IQ2_S.gguf 2.57 GB 7710be8f download
Llama-3-8B-Instruct-abliterated-v2.i1-IQ2_XS.gguf 2.43 GB 7affd998 download
Llama-3-8B-Instruct-abliterated-v2.i1-IQ2_XXS.gguf 2.23 GB bbaedb36 download
IQ1 2 files 3.89 GB
Llama-3-8B-Instruct-abliterated-v2.i1-IQ1_M.gguf 2.01 GB a2f8e9b2 download
Llama-3-8B-Instruct-abliterated-v2.i1-IQ1_S.gguf 1.88 GB 5d6d9a7a download
Auxiliary files 3 files 4.77 MB
imatrix.dat 4.76 MB 6dfc05e0 download
README.md 5.53 KB a8b9f246 download
.gitattributes 3.28 KB 3ecd6d4d download

README current version from Hugging Face


base_model: QuixiAI/Llama-3-8B-Instruct-abliterated-v2
language:

  • en
    library_name: transformers
    license: llama3
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/QuixiAI/Llama-3-8B-Instruct-abliterated-v2

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

static quants are available at https://huggingface.co/mradermacher/Llama-3-8B-Instruct-abliterated-v2-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 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-Q4_K_S 4.8 optimal size/speed/quality
GGUF i1-Q4_K_M 5.0 fast, recommended
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.

README history 3 versions

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

  1. 2025-07-15auto-patch README.md2ace0ee5.5 KB
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  2. 2024-05-14auto-patch README.mdc6aab345.4 KB
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  3. 2024-05-12uploaded from nethype/db2ab43a35236 B
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