rap-distil-GGUF

mradermacher/rap-distil-GGUF

rap-distil-GGUF is a machine learning model from mradermacher. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

static quants of https://huggingface.co/nschenone/rap-distil

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.gguf875 MB · 100%

At a glance

Library: transformers
Access: Public
Created: May 23, 2025
Updated: May 24, 2025
SHA: 4659f25d

Base models

nschenone/rap-distil

Model card

From the Hugging Face model README

About

static quants of https://huggingface.co/nschenone/rap-distil

weighted/imatrix quants are available at https://huggingface.co/mradermacher/rap-distil-i1-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	Q2_K	0.2
GGUF	Q3_K_S	0.2
GGUF	Q3_K_M	0.2	lower quality
GGUF	IQ4_XS	0.2
GGUF	Q4_K_S	0.2	fast, recommended
GGUF	Q3_K_L	0.2
GGUF	Q4_K_M	0.2	fast, recommended
GGUF	Q5_K_S	0.2
GGUF	Q5_K_M	0.2
GGUF	Q6_K	0.2	very good quality
GGUF	Q8_0	0.2	fast, best quality
GGUF	f16	0.3	16 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

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.

Library: transformers
Languages: en
Created: May 23, 2025
Updated: May 24, 2025