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mradermacher/Llama-3.1-8B-Instruct-Fei-v1-Uncensored-i1-GGUF

mradermacher Llama 8B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 24
  • hub_downloads_all_time 22,890
  • 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='aifeifei799/Llama-3.1-8B-Instruct-Fei-v1-Uncensored' (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
23K
2K last 30d - cooling
Likes
5
Model age
2.2y ago
created 2024-07-28
Downloads over time
Now23.3K→from517↑4,408%
08.5K17.1K25.6K517 on Jul 24, 202423.3K on Oct 11Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 156 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
llama3.1
Languages
en de fr it pt hi es th
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf facebook meta pytorch llama llama-3 en de fr it pt

Related

Total size
75.4 GB
Files
24
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-08-02 09:23

Files by quantization

Q6_K 1 file 6.14 GB
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-Q6_K.gguf 6.14 GB 0c6a8833 download
Q5_K 2 files 10.6 GB
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-Q5_K_M.gguf 5.34 GB 8711fde7 download
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-Q5_K_S.gguf 5.21 GB 4485e150 download
Q4_K 2 files 8.95 GB
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-Q4_K_M.gguf 4.58 GB cad10301 download
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-Q4_K_S.gguf 4.37 GB 0e4abb7c download
Q4 1 file 4.35 GB
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-Q4_0.gguf 4.35 GB 3f7611a8 download
IQ4 1 file 4.14 GB
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-IQ4_XS.gguf 4.14 GB c90090b9 download
Q3_K 3 files 11.2 GB
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-Q3_K_L.gguf 4.03 GB 994e910b download
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-Q3_K_M.gguf 3.74 GB b3e5b8c5 download
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-Q3_K_S.gguf 3.41 GB 41f1f7dc download
IQ3 4 files 13.3 GB
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-IQ3_M.gguf 3.52 GB 7c7bcec6 download
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-IQ3_S.gguf 3.43 GB 9fbff3c2 download
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-IQ3_XS.gguf 3.28 GB 659bf5d7 download
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-IQ3_XXS.gguf 3.05 GB 391d4ede download
Q2_K 1 file 2.96 GB
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-Q2_K.gguf 2.96 GB 92d7b56a download
IQ2 4 files 9.98 GB
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-IQ2_M.gguf 2.75 GB 726fa31f download
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-IQ2_S.gguf 2.57 GB 4ea2afc9 download
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-IQ2_XS.gguf 2.43 GB 46d30d0f download
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-IQ2_XXS.gguf 2.23 GB 49dc9e12 download
IQ1 2 files 3.89 GB
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-IQ1_M.gguf 2.01 GB 5d0bab9c download
Llama-3.1-8B-Instruct-Fei-v1-Uncensored.i1-IQ1_S.gguf 1.88 GB b10d2bba download
Auxiliary files 3 files 4.77 MB
imatrix.dat 4.76 MB d7818241 download
README.md 6.18 KB 354d7535 download
.gitattributes 3.39 KB abc55a54 download

README current version from Hugging Face


base_model: aifeifei799/Llama-3.1-8B-Instruct-Fei-v1-Uncensored
extra_gated_fields:
Affiliation: text
Country: country
Date of birth: date_picker
First Name: text
Job title:
options:
- Student
- Research Graduate
- AI researcher
- AI developer/engineer
- Reporter
- Other
type: select
Last Name: text
language:

  • en
  • de
  • fr
  • it
  • pt
  • hi
  • es
  • th
    library_name: transformers
    license: llama3.1
    quantized_by: mradermacher
    tags:
  • facebook
  • meta
  • pytorch
  • llama
  • llama-3

About

weighted/imatrix quants of https://huggingface.co/aifeifei799/Llama-3.1-8B-Instruct-Fei-v1-Uncensored

static quants are available at https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-Fei-v1-Uncensored-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. 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. 2024-08-02auto-patch README.md369baed6.2 KB
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  2. 2024-07-28auto-patch README.mdf0b99b16.1 KB
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  3. 2024-07-28uploaded from nethype/db15a4f518259 B
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