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mradermacher/llama-3-70B-Instruct-abliterated-i1-GGUF

mradermacher Llama 70B GGUF second-order 8K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m8
  • files 25
  • hub_downloads_all_time 16,177
  • 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='failspy/llama-3-70B-Instruct-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
16K
3K last 30d - stable
Likes
3
Model age
2.4y ago
created 2024-05-13
Downloads over time
Now17.1K→from513↑3,235%
06.3K12.5K18.8K513 on Jul 24, 202417.1K on Oct 12Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 12 · 157 snapshots · spans 810 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
Tags
transformers gguf en base_model:failspy/llama-3-70B-Instruct-abliterated base_model:quantized:failspy/llama-3-70B-Instruct-abliterated license:llama3 endpoints_compatible region:us imatrix conversational

Related

Total size
583 GB
Files
25
Quantizations
10
Registered
2026-08-22 13:56
Last updated on HF
2024-05-14 19:09

Files by quantization

Q5_K 2 files 91.8 GB
llama-3-70B-Instruct-abliterated.i1-Q5_K_M.gguf 46.5 GB 671906d2 download
llama-3-70B-Instruct-abliterated.i1-Q5_K_S.gguf 45.3 GB e684372b download
Q4_K 2 files 77.2 GB
llama-3-70B-Instruct-abliterated.i1-Q4_K_M.gguf 39.6 GB 3d76d05c download
llama-3-70B-Instruct-abliterated.i1-Q4_K_S.gguf 37.6 GB 388fac67 download
Q4 1 file 37.4 GB
llama-3-70B-Instruct-abliterated.i1-Q4_0.gguf 37.4 GB 79e2503c download
IQ4 1 file 35.3 GB
llama-3-70B-Instruct-abliterated.i1-IQ4_XS.gguf 35.3 GB cf7fea29 download
Q3_K 3 files 95.3 GB
llama-3-70B-Instruct-abliterated.i1-Q3_K_L.gguf 34.6 GB 100c04ca download
llama-3-70B-Instruct-abliterated.i1-Q3_K_M.gguf 31.9 GB 18ff8070 download
llama-3-70B-Instruct-abliterated.i1-Q3_K_S.gguf 28.8 GB 5d951dac download
IQ3 4 files 111 GB
llama-3-70B-Instruct-abliterated.i1-IQ3_M.gguf 29.7 GB 5a2a6956 download
llama-3-70B-Instruct-abliterated.i1-IQ3_S.gguf 28.8 GB 74679651 download
llama-3-70B-Instruct-abliterated.i1-IQ3_XS.gguf 27.3 GB 245f6e4d download
llama-3-70B-Instruct-abliterated.i1-IQ3_XXS.gguf 25.6 GB 366743a7 download
Q2_K 1 file 24.6 GB
llama-3-70B-Instruct-abliterated.i1-Q2_K.gguf 24.6 GB 66f77ebb download
IQ2 4 files 80.7 GB
llama-3-70B-Instruct-abliterated.i1-IQ2_M.gguf 22.5 GB c617b0c1 download
llama-3-70B-Instruct-abliterated.i1-IQ2_S.gguf 20.7 GB 5d865ffb download
llama-3-70B-Instruct-abliterated.i1-IQ2_XS.gguf 19.7 GB 7919e731 download
llama-3-70B-Instruct-abliterated.i1-IQ2_XXS.gguf 17.8 GB 9210d4b4 download
IQ1 2 files 29.9 GB
llama-3-70B-Instruct-abliterated.i1-IQ1_M.gguf 15.6 GB 212b4709 download
llama-3-70B-Instruct-abliterated.i1-IQ1_S.gguf 14.3 GB e0747d78 download
Auxiliary files 5 files 53.9 GB
llama-3-70B-Instruct-abliterated.i1-Q6_K.gguf.part1of2 27.0 GB 66098f05 download
llama-3-70B-Instruct-abliterated.i1-Q6_K.gguf.part2of2 26.9 GB 8f0266a7 download
imatrix.dat 23.8 MB bde1e39b download
README.md 5.48 KB 996ea2a5 download
.gitattributes 3.34 KB 5ba59247 download

README current version from Hugging Face


base_model: failspy/llama-3-70B-Instruct-abliterated
language:

  • en
    library_name: transformers
    license: llama3
    license_link: LICENSE
    license_name: llama3
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/failspy/llama-3-70B-Instruct-abliterated

static quants are available at https://huggingface.co/mradermacher/llama-3-70B-Instruct-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 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 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-Q5_K_S 48.8
GGUF i1-Q5_K_M 50.0
PART 1 PART 2 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.

README history 2 versions

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

  1. 2024-05-14auto-patch README.mdff981975.5 KB
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  2. 2024-05-13uploaded from nethype/db25870a9d220 B
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