StarCoder2 models
2 StarCoder2 models on Hugging Face, from 3.0B to 7.2B parameters. At the precision each one is published in, the smallest needs about 13.5 GB of VRAM (starcoder2-3b, cheapest live fit: V100) and the largest about 16.0 GB (starcoder2-7b, cheapest live fit: RTX A5000). The cheapest way to run starcoder2-3b is $0.088/hr.
StarCoder2 models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| starcoder2-3b | 3.0B | F32 | 13.5 GB | V100 | $0.088/hr |
| starcoder2-7b | 7.2B | BF16 | 16.0 GB | RTX A5000 | $0.176/hr |
VRAM is for the precision the model is published in, with the same overhead and an 8,192-token context assumed on every page; see the methodology. The fit shown is the lowest-priced single GPU type that holds the model at that precision, or the lowest-priced multi-GPU set (up to 8) when none does.
