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Models / llama-embed-nemotron
GPU memory needed (smallest version of each): llama-embed-nemotron 8B about 19.5 GB. The cheapest runs on RTX 4000 Ada from $0.22/h right now.
1 model (8B) · ↓ 27.2K downloads a month · from $0.22/h on RTX 4000 Ada 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 |
|---|---|---|---|---|
| Originalnvidia/llama-embed-nemotron-8b | vLLM | 15 GB | 19.5 GB | $0.22/h RTX 4000 Ada |
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").