← back to catalog · registered 2026-08-22 13:56

mradermacher/Unaligned-RP-Base-8b-2-GGUF

mradermacher 8B GGUF
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Response includes
  • classification m8
  • files 15
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

No other method signals detected in this model.
Confidence
HIGH
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)
  • is_gguf=1
  • base_model='MrRobotoAI/Unaligned-RP-Base-8b-2' (source unknown method)
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 · 30-day
252
↑ 228% in 90 days
Likes
1
Model age
23mo ago
created 2024-11-13
Downloads over time
Now1.1K→from330↑228%
03967921.2K330 on Nov 13, 20241.1K on Oct 11Nov '24Feb '25May '25Aug '25Nov '25FebMayAug
Nov 13, 2024 → Oct 11 · 139 snapshots · spans 697 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.

Metadata

Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf mergekit merge en endpoints_compatible region:us

Related

Total size
71.2 GB
Files
15
Quantizations
10
Registered
2026-08-22 13:56
Last updated on HF
2024-11-13 03:14

Files by quantization

F16 1 file 15.0 GB
Unaligned-RP-Base-8b-2.f16.gguf 15.0 GB 8be6d305 download
Q8_0 1 file 7.95 GB
Unaligned-RP-Base-8b-2.Q8_0.gguf 7.95 GB 39138a63 download
Q6_K 1 file 6.14 GB
Unaligned-RP-Base-8b-2.Q6_K.gguf 6.14 GB ed894aed download
Q5_K 2 files 10.6 GB
Unaligned-RP-Base-8b-2.Q5_K_M.gguf 5.34 GB ecf143d0 download
Unaligned-RP-Base-8b-2.Q5_K_S.gguf 5.21 GB eb180acb download
Q4_K 2 files 8.95 GB
Unaligned-RP-Base-8b-2.Q4_K_M.gguf 4.58 GB 38797869 download
Unaligned-RP-Base-8b-2.Q4_K_S.gguf 4.37 GB 8991944f download
Q4 1 file 4.34 GB
Unaligned-RP-Base-8b-2.Q4_0_4_4.gguf 4.34 GB 16abd0d6 download
IQ4 1 file 4.18 GB
Unaligned-RP-Base-8b-2.IQ4_XS.gguf 4.18 GB daf21377 download
Q3_K 3 files 11.2 GB
Unaligned-RP-Base-8b-2.Q3_K_L.gguf 4.03 GB faee8343 download
Unaligned-RP-Base-8b-2.Q3_K_M.gguf 3.74 GB 99095602 download
Unaligned-RP-Base-8b-2.Q3_K_S.gguf 3.41 GB cb0619a4 download
Q2_K 1 file 2.96 GB
Unaligned-RP-Base-8b-2.Q2_K.gguf 2.96 GB e2d17868 download
Auxiliary files 2 files 5.95 KB
README.md 3.57 KB 01af0ac5 download
.gitattributes 2.38 KB f89bca98 download

README current version from Hugging Face


base_model: MrRobotoAI/Unaligned-RP-Base-8b-2
language:

  • en
    library_name: transformers
    quantized_by: mradermacher
    tags:
  • mergekit
  • merge

About

static quants of https://huggingface.co/MrRobotoAI/Unaligned-RP-Base-8b-2

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 Q2_K 3.3
GGUF Q3_K_S 3.8
GGUF Q3_K_M 4.1 lower quality
GGUF Q3_K_L 4.4
GGUF IQ4_XS 4.6
GGUF Q4_0_4_4 4.8 fast on arm, low quality
GGUF Q4_K_S 4.8 fast, recommended
GGUF Q4_K_M 5.0 fast, recommended
GGUF Q5_K_S 5.7
GGUF Q5_K_M 5.8
GGUF Q6_K 6.7 very good quality
GGUF Q8_0 8.6 fast, best quality
GGUF f16 16.2 16 bpw, overkill

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. 2024-11-13auto-patch README.mdc63cb723.6 KB
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  2. 2024-11-13uploaded from nethype/db2967921e223 B
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