Link	Type	Size/GB	Notes
GGUF	i1-IQ1_S	25.7	for the desperate
GGUF	i1-IQ1_M	27.8	mostly desperate
GGUF	i1-IQ2_XXS	32.2
GGUF	i1-IQ2_XS	35.8
GGUF	i1-IQ2_S	37.6
GGUF	i1-IQ2_M	40.9
GGUF	i1-Q2_K	44.6	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	46.6	lower quality
GGUF	i1-IQ3_XS	49.4
PART 1 PART 2	i1-Q3_K_S	52.2	IQ3_XS probably better
PART 1 PART 2	i1-IQ3_S	52.4	beats Q3_K*
PART 1 PART 2	i1-IQ3_M	54.2
PART 1 PART 2	i1-Q3_K_M	58.2	IQ3_S probably better
PART 1 PART 2	i1-Q3_K_L	63.4	IQ3_M probably better
PART 1 PART 2	i1-IQ4_XS	64.3
PART 1 PART 2	i1-Q4_0	68.1	fast, low quality
PART 1 PART 2	i1-Q4_K_S	68.7	optimal size/speed/quality
PART 1 PART 2	i1-Q4_K_M	72.6	fast, recommended
PART 1 PART 2	i1-Q5_K_S	83.2
PART 1 PART 2	i1-Q5_K_M	85.4
PART 1 PART 2 PART 3	i1-Q6_K	99.1	practically like static Q6_K

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

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.