Link	Type	Size/GB	Notes
GGUF	i1-IQ1_S	21.7	for the desperate
GGUF	i1-IQ1_M	23.4	mostly desperate
GGUF	i1-IQ2_XXS	26.2
GGUF	i1-IQ2_XS	28.6
GGUF	i1-IQ2_S	30.6
GGUF	i1-IQ2_M	32.8
GGUF	i1-Q2_K	35.1	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	36.0	lower quality
GGUF	i1-IQ3_XS	38.6
GGUF	i1-IQ3_S	40.6	beats Q3_K*
GGUF	i1-Q3_K_S	40.6	IQ3_XS probably better
GGUF	i1-IQ3_M	42.7
GGUF	i1-Q3_K_M	45.3	IQ3_S probably better
GGUF	i1-Q3_K_L	49.3	IQ3_M probably better
PART 1 PART 2	i1-IQ4_XS	49.6
PART 1 PART 2	i1-Q4_0	52.5	fast, low quality
PART 1 PART 2	i1-Q4_K_S	52.7	optimal size/speed/quality
PART 1 PART 2	i1-Q4_K_M	55.8	fast, recommended
PART 1 PART 2	i1-Q5_K_S	63.4
PART 1 PART 2	i1-Q5_K_M	65.2
PART 1 PART 2	i1-Q6_K	75.2	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.