audio model · dia · Windows
Can I run Dia 1.6B on Nvidia GeForce RTX 3060 Ti (8GB)?
Needs ~10 GB at fp16, but only ~7 GB is usable on Nvidia GeForce RTX 3060 Ti (8GB).
Needs ~10 GB at fp16, but only ~7 GB is usable on Nvidia GeForce RTX 3060 Ti (8GB).
The gap is about 3 GB: Dia 1.6B needs roughly 10 GB and Nvidia GeForce RTX 3060 Ti (8GB) leaves only about 7 GB usable for a model. The lightest tracked hardware that runs Dia 1.6B is the Nvidia GeForce RTX 3060 (12GB) at 12 GB. See Dia 1.6B on Nvidia GeForce RTX 3060 (12GB).
- Peak memory
- ~10 GB
- Usable on device
- ~7 GB
- Device memory
- 8 GB
- Quant
- fp16
- Type
- Text to speech (dialogue)
- Parameters
- 1.6B
- Peak memory
- ~10 GB at fp16
- License
- Apache-2.0
- Memory
- 8 GB vram
- Usable for weights
- ~7 GB
- Power draw
- ~200 W
- Best runtime
- Ollama (CUDA) / llama.cpp CUDA
What you can run instead
Run Dia 1.6B on other hardware
FAQ
Can Nvidia GeForce RTX 3060 Ti (8GB) run Dia 1.6B?
Needs ~10 GB at fp16, but only ~7 GB is usable on Nvidia GeForce RTX 3060 Ti (8GB).
How much memory does Dia 1.6B need?
Nvidia GeForce RTX 3060 Ti (8GB) does not have enough memory. At fp16 the realistic peak is ~10 GB of memory.
What do I use to run Dia 1.6B locally?
Dia 1.6B runs in PyTorch (CUDA) or nari-labs/dia. It needs a GPU.
Sources
VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-09-14. See methodology.