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Models / embeddinggemma
GPU memory needed (smallest version of each): embeddinggemma 300M about 2.2 GB. The cheapest runs on RTX 3060 from $0.09/h right now.
3 models (300M to 300M) · ↓ 65.5K 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 |
|---|---|---|---|---|
| Originalunsloth/embeddinggemma-300m | vLLM | 610 MB | 2.2 GB | $0.09/h RTX 3060 |
| Embedding Gemma 300m (rizkysulaeman)rizkysulaeman/Embedding-Gemma-300m | vLLM | 620 MB | 2.2 GB | $0.09/h RTX 3060 |
| Embedding Gemma 300m Healthcare (rizkysulaeman)rizkysulaeman/Embedding-Gemma-300m-Healthcare | vLLM | 620 MB | 2.2 GB | $0.09/h RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalunsloth/embeddinggemma-300m-qat-q8_0-unquantized | vLLM | 610 MB | 2.2 GB | $0.09/h RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalunsloth/embeddinggemma-300m-qat-q4_0-unquantized | vLLM | 610 MB | 2.2 GB | $0.09/h RTX 3060 |
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").