Can granite embedding 107m multilingual run on RTX 2000 Ada Laptop 8GB?

Yes, RTX 2000 Ada Laptop 8GB can run granite embedding 107m multilingual with a D grade (Runs well). Expected decode speed: 2.0 tok/s.

granite embedding 107m multilingual (0.10700000077486038B parameters) requires approximately 2.2 GB of memory with Q4_K_M quantization.

The recommended quantization for granite embedding 107m multilingual is Q4_K_M, which balances quality and memory efficiency.

On RTX 2000 Ada Laptop 8GB, granite embedding 107m multilingual achieves approximately 2.0 tokens per second decode speed with a time-to-first-token of 96800ms using Q4_K_M quantization.

For coding workloads, granite embedding 107m multilingual on RTX 2000 Ada Laptop 8GB receives a D grade with 2.0 tok/s and 950K context.

On RTX 2000 Ada Laptop 8GB, granite embedding 107m multilingual can safely use up to 950K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

Prioritize bandwidth, not only capacity. If this workload feels slow, the next useful step is often a GPU tier with materially faster memory bandwidth rather than only a small bump in capacity.