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Models / Qodo-Embed-1
GPU memory needed (smallest version of each): Qodo-Embed-1 1.5B about 5.2 GB, Qodo-Embed-1 7B about 18.5 GB. The cheapest runs on RTX 3060 from $0.09/h right now.
2 models (1.5B to 7B) · ↓ 17.7K downloads a month · from $0.09/h on RTX 3060 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 |
|---|---|---|---|---|
| OriginalQodo/Qodo-Embed-1-1.5B | vLLM | 3.1 GB | 5.2 GB | $0.09/h RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| OriginalQodo/Qodo-Embed-1-7B | vLLM | 14 GB | 18.5 GB | $0.23/h RTX 3090 |
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").