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Can I run EmbeddingGemma 2 740M locally?

Google · 0.74B parameters · embedding.

Ollama weight files: Q8_0 1.3 GB (embeddinggemma-2:740m-q8_0); Default 1.3 GB (embeddinggemma-2:740m).

Yes on 56 machines in this list. The smallest is M1 8GB: Q8_0, about 1.9 GB, roughly 42 tokens per second, via Ollama. ollama pull embeddinggemma-2:740m-q8_0

Setup on DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte)

Open EmbeddingGemma 2 740M in the checker

Hardware that fits

HardwareRuntimeQuantMemoryFitSpeedCommand
M1 8GBOllamaQ8_01.9 GBfits in fast memory~42 tok/sollama pull embeddinggemma-2:740m-q8_0
M2 8GBOllamaQ8_01.9 GBfits in fast memory~62 tok/sollama pull embeddinggemma-2:740m-q8_0
M3 8GBOllamaQ8_01.9 GBfits in fast memory~62 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 3060 Ti 8GBOllamaQ8_01.9 GBfits in fast memory~207 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 3070 8GBOllamaQ8_01.9 GBfits in fast memory~207 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 4060 8GBOllamaQ8_01.9 GBfits in fast memory~126 tok/sollama pull embeddinggemma-2:740m-q8_0
RX 7600 8GBOllamaQ8_01.9 GBfits in fast memory~133 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 3080 10GBOllamaQ8_01.9 GBfits in fast memory~351 tok/sollama pull embeddinggemma-2:740m-q8_0
M1 16GBOllamaQ8_01.9 GBfits in fast memory~42 tok/sollama pull embeddinggemma-2:740m-q8_0
M2 16GBOllamaQ8_01.9 GBfits in fast memory~62 tok/sollama pull embeddinggemma-2:740m-q8_0
M3 16GBOllamaQ8_01.9 GBfits in fast memory~62 tok/sollama pull embeddinggemma-2:740m-q8_0
M4 16GBOllamaQ8_01.9 GBfits in fast memory~74 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 3060 12GBOllamaQ8_01.9 GBfits in fast memory~166 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 4070 12GBOllamaQ8_01.9 GBfits in fast memory~233 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 5070 12GBOllamaQ8_01.9 GBfits in fast memory~310 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 4060 Ti 16GBOllamaQ8_01.9 GBfits in fast memory~133 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 4070 Ti Super 16GBOllamaQ8_01.9 GBfits in fast memory~310 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 4080 16GBOllamaQ8_01.9 GBfits in fast memory~331 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 5080 16GBOllamaQ8_01.9 GBfits in fast memory~443 tok/sollama pull embeddinggemma-2:740m-q8_0
RX 7800 XT 16GBOllamaQ8_01.9 GBfits in fast memory~288 tok/sollama pull embeddinggemma-2:740m-q8_0
RX 9070 XT 16GBOllamaQ8_01.9 GBfits in fast memory~295 tok/sollama pull embeddinggemma-2:740m-q8_0
M2 24GBOllamaQ8_01.9 GBfits in fast memory~62 tok/sollama pull embeddinggemma-2:740m-q8_0
M3 24GBOllamaQ8_01.9 GBfits in fast memory~62 tok/sollama pull embeddinggemma-2:740m-q8_0
M4 24GBOllamaQ8_01.9 GBfits in fast memory~74 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 3090 24GBOllamaQ8_01.9 GBfits in fast memory~432 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 4090 24GBOllamaQ8_01.9 GBfits in fast memory~465 tok/sollama pull embeddinggemma-2:740m-q8_0
RX 7900 XTX 24GBOllamaQ8_01.9 GBfits in fast memory~443 tok/sollama pull embeddinggemma-2:740m-q8_0
M1 Pro 32GBOllamaQ8_01.9 GBfits in fast memory~123 tok/sollama pull embeddinggemma-2:740m-q8_0
M2 Pro 32GBOllamaQ8_01.9 GBfits in fast memory~123 tok/sollama pull embeddinggemma-2:740m-q8_0
M4 32GBOllamaQ8_01.9 GBfits in fast memory~74 tok/sollama pull embeddinggemma-2:740m-q8_0
M3 Pro 36GBOllamaQ8_01.9 GBfits in fast memory~92 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M4 Max (32c GPU) 36GBOllamaQ8_01.9 GBfits in fast memory~252 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M5 Max (32c GPU) 36GBOllamaQ8_01.9 GBfits in fast memory~283 tok/sollama pull embeddinggemma-2:740m-q8_0
RTX 5090 32GBOllamaQ8_01.9 GBfits in fast memory~827 tok/sollama pull embeddinggemma-2:740m-q8_0
M4 Pro 48GBOllamaQ8_01.9 GBfits in fast memory~168 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M4 Max (40c GPU) 48GBOllamaQ8_01.9 GBfits in fast memory~336 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M5 Max (40c GPU) 48GBOllamaQ8_01.9 GBfits in fast memory~378 tok/sollama pull embeddinggemma-2:740m-q8_0
M1 Max 64GBOllamaQ8_01.9 GBfits in fast memory~246 tok/sollama pull embeddinggemma-2:740m-q8_0
M2 Max 64GBOllamaQ8_01.9 GBfits in fast memory~246 tok/sollama pull embeddinggemma-2:740m-q8_0
M3 Max 64GBOllamaQ8_01.9 GBfits in fast memory~246 tok/sollama pull embeddinggemma-2:740m-q8_0
M4 Max 64GBOllamaQ8_01.9 GBfits in fast memory~336 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M4 Max (40c GPU) 64GBOllamaQ8_01.9 GBfits in fast memory~336 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M5 Max (40c GPU) 64GBOllamaQ8_01.9 GBfits in fast memory~378 tok/sollama pull embeddinggemma-2:740m-q8_0
DGX Spark 64GB (ASUS, Dell, HP, MSI, Acer, Gigabyte)OllamaQ8_01.9 GBfits in fast memory~158 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M3 Ultra 96GBOllamaQ8_01.9 GBfits in fast memory~504 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M5 Ultra 96GBOllamaQ8_01.9 GBfits in fast memory~738 tok/sollama pull embeddinggemma-2:740m-q8_0
M3 Max 128GBOllamaQ8_01.9 GBfits in fast memory~246 tok/sollama pull embeddinggemma-2:740m-q8_0
M4 Max 128GBOllamaQ8_01.9 GBfits in fast memory~336 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M4 Max (40c GPU) 128GBOllamaQ8_01.9 GBfits in fast memory~336 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M5 Max (40c GPU) 128GBOllamaQ8_01.9 GBfits in fast memory~378 tok/sollama pull embeddinggemma-2:740m-q8_0
DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte)OllamaQ8_01.9 GBfits in fast memory~158 tok/sollama pull embeddinggemma-2:740m-q8_0
M2 Ultra 192GBOllamaQ8_01.9 GBfits in fast memory~492 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M3 Ultra 256GBOllamaQ8_01.9 GBfits in fast memory~504 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M5 Ultra (64c GPU) 256GBOllamaQ8_01.9 GBfits in fast memory~738 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M5 Ultra (80c GPU) 256GBOllamaQ8_01.9 GBfits in fast memory~738 tok/sollama pull embeddinggemma-2:740m-q8_0
Mac Studio M3 Ultra (80c GPU) 512GBOllamaQ8_01.9 GBfits in fast memory~504 tok/sollama pull embeddinggemma-2:740m-q8_0

Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-16.

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