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Models / Giga-Embeddings-instruct
GPU memory needed (smallest version of each): Giga-Embeddings-instruct 10B about 26.6 GB. The cheapest runs on Nvidia A100 from $0.50/h right now.
1 model (10B) · ↓ 17.4K downloads a month · from $0.50/h on Nvidia A100 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 |
|---|---|---|---|---|
| Originalai-sage/Giga-Embeddings-instruct-10B-A1.8B-0826 | vLLM | 21 GB | 26.6 GB | $0.50/h Nvidia A100 |
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").