base_model, language, library_name, license, mradermacher, quantized_by, tags

base_model	language	library_name	license	mradermacher	quantized_by	tags
Naphula/Boreas-24B-v1.3	en	transformers	apache-2.0	readme_rev 1	mradermacher	creative creative writing fiction writing plot generation sub-plot generation fiction writing story generation scene continue storytelling fiction story science fiction romance all genres story writing vivid prosing vivid writing fiction roleplaying float32 swearing mistral rp horror mistral karcher merge mergekit

About

static quants of https://huggingface.co/Naphula/Boreas-24B-v1.3

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Boreas-24B-v1.3-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	9.0
GGUF	Q3_K_S	10.5
GGUF	Q3_K_M	11.6	lower quality
GGUF	Q3_K_L	12.5
GGUF	IQ4_XS	13.0
GGUF	Q4_K_S	13.6	fast, recommended
GGUF	Q4_K_M	14.4	fast, recommended
GGUF	Q5_K_S	16.4
GGUF	Q5_K_M	16.9
GGUF	Q6_K	19.4	very good quality
GGUF	Q8_0	25.2	fast, best quality

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.