mradermacher/LLAMA-2-13b-ko-Y24-DPO_v2.1-GGUF

About

static quants of https://huggingface.co/AIdenU/LLAMA-2-13b-ko-Y24-DPO_v2.1

weighted/imatrix quants are available at https://huggingface.co/mradermacher/LLAMA-2-13b-ko-Y24-DPO_v2.1-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	5.0
GGUF	Q3_K_S	5.8
GGUF	Q3_K_M	6.4	lower quality
GGUF	Q3_K_L	7.0
GGUF	IQ4_XS	7.1
GGUF	Q4_0_4_4	7.5	fast on arm, low quality
GGUF	Q4_K_S	7.5	fast, recommended
GGUF	Q4_K_M	8.0	fast, recommended
GGUF	Q5_K_S	9.1
GGUF	Q5_K_M	9.3
GGUF	Q6_K	10.8	very good quality
GGUF	Q8_0	13.9	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. 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.