Link	Type	Size/GB	Notes
GGUF	i1-IQ1_S	27.5	for the desperate
GGUF	i1-IQ1_M	29.9	mostly desperate
GGUF	i1-IQ2_XXS	33.8
GGUF	i1-IQ2_XS	37.2
GGUF	i1-IQ2_S	39.9
GGUF	i1-IQ2_M	43.1
GGUF	i1-Q2_K	46.4	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	47.5	lower quality
PART 1 PART 2	i1-IQ3_XS	51.3
PART 1 PART 2	i1-IQ3_S	54.2	beats Q3_K*
PART 1 PART 2	i1-Q3_K_S	54.2	IQ3_XS probably better
PART 1 PART 2	i1-IQ3_M	57.1
PART 1 PART 2	i1-Q3_K_M	60.6	IQ3_S probably better
PART 1 PART 2	i1-Q3_K_L	66.3	IQ3_M probably better
PART 1 PART 2	i1-IQ4_XS	66.7
PART 1 PART 2	i1-Q4_0	70.8	fast, low quality
PART 1 PART 2	i1-Q4_K_S	71.0	optimal size/speed/quality
PART 1 PART 2	i1-Q4_K_M	75.4	fast, recommended
PART 1 PART 2	i1-Q5_K_S	86.0
PART 1 PART 2	i1-Q5_K_M	88.5
PART 1 PART 2 PART 3	i1-Q6_K	102.4	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.