mradermacher/pythia-160m-GGUF

About

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.

(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	0.2
GGUF	IQ3_XS	0.2
GGUF	IQ3_S	0.2	beats Q3_K*
GGUF	Q3_K_S	0.2
GGUF	IQ3_M	0.2
GGUF	Q3_K_M	0.2	lower quality
GGUF	Q3_K_L	0.2
GGUF	IQ4_XS	0.2
GGUF	Q4_K_S	0.2	fast, recommended
GGUF	Q4_K_M	0.2	fast, recommended
GGUF	Q5_K_S	0.2
GGUF	Q5_K_M	0.2
GGUF	Q6_K	0.2	very good quality
GGUF	Q8_0	0.3	fast, best quality
GGUF	f16	0.4	16 bpw, overkill

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

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

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.