SmolLM models
5 SmolLM models on Hugging Face, from 135M to 1.7B parameters. At the precision each one is published in, the smallest needs about 0.3 GB of VRAM (SmolLM-135M-Instruct, cheapest live fit: RTX 5060 Ti) and the largest about 7.7 GB (SmolLM-1.7B, cheapest live fit: V100). The cheapest way to run SmolLM-135M-Instruct is $0.110/hr.
SmolLM models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| SmolLM-135M | 135M | F32 | 0.6 GB | V100 | $0.088/hr |
| SmolLM-135M-Instruct | 135M | BF16 | 0.3 GB | RTX 5060 Ti | $0.110/hr |
| SmolLM-135M-Instruct-FP32 | 135M | F32 | 0.6 GB | V100 | $0.088/hr |
| SmolLM-360M-Instruct | 362M | BF16 | 0.8 GB | RTX 5060 Ti | $0.110/hr |
| SmolLM-1.7B | 1.7B | F32 | 7.7 GB | V100 | $0.088/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.
