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Models / octo-net
GPU memory needed (smallest version of each): octo-net ~3.82B about 14.3 GB. The cheapest runs on RTX 4060 Ti from $0.12/h right now.
1 model (~3.82B) · ↓ 39 downloads a month · from $0.12/h on RTX 4060 Ti 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 |
|---|---|---|---|---|
| OriginalNexaAI/octo-net | vLLM | 7.6 GB | 14.3 GB | $0.12/h RTX 4060 Ti |
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").