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Models / TowerVision
GPU memory needed (smallest version of each): TowerVision 9B about 26.8 GB. The cheapest runs on 2x RTX A4000 from $0.31/h right now.
1 model (9B) · ↓ 110 downloads a month · from $0.31/h on 2x RTX A4000 right now. Each model's versions do the same job; quantized ones (AWQ, FP8, 4-bit) need less GPU memory and run on cheaper machines.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| TowerVideo 9Butter-project/TowerVideo-9B | vLLM | 19 GB | 26.8 GB | $0.31/h 2x RTX A4000 |
Model details come from Hugging Face and are refreshed daily; prices follow the live offers. GPU memory is GridPup's estimate: the weights, room for an 8,192-token conversation (chat models) and the runtime's own memory. Large models are split across the GPUs of one machine ("4x RTX 4090").