mradermacher/Premerge-XE-XE-123B-GGUF

About

static quants of https://huggingface.co/ChuckMcSneed/Premerge-XE-XE-123B

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	45.8
PART 1 PART 2	IQ3_XS	51.0
PART 1 PART 2	Q3_K_S	53.7
PART 1 PART 2	IQ3_S	53.9	beats Q3_K*
PART 1 PART 2	IQ3_M	55.7
PART 1 PART 2	Q3_K_M	59.9	lower quality
PART 1 PART 2	Q3_K_L	65.2
PART 1 PART 2	IQ4_XS	67.1
PART 1 PART 2	Q4_0	70.1	fast, low quality
PART 1 PART 2	Q4_K_S	70.6	fast, recommended
PART 1 PART 2	IQ4_NL	70.8	prefer IQ4_XS
PART 1 PART 2	Q4_K_M	74.6	fast, recommended
PART 1 PART 2	Q5_K_S	85.5
PART 1 PART 2	Q5_K_M	87.8
PART 1 PART 2 PART 3	Q6_K	101.9	very good quality
PART 1 PART 2 PART 3	Q8_0	131.8	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.