audio model · dia · Windows

Can I run Dia 1.6B on Nvidia GeForce GTX 1070 (8GB)?

Compatibility verdict memory check

No, not enough memory would not load

Needs ~10 GB at fp16, but only ~7 GB is usable on Nvidia GeForce GTX 1070 (8GB).

Needs ~10 GB Device usable ~7 GB

Needs ~10 GB at fp16, but only ~7 GB is usable on Nvidia GeForce GTX 1070 (8GB).

The gap is about 3 GB: Dia 1.6B needs roughly 10 GB and Nvidia GeForce GTX 1070 (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

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Model dia

Type: Text to speech (dialogue)
Parameters: 1.6B
Peak memory: ~10 GB at fp16
License: Apache-2.0

Full Dia 1.6B requirements →

Device Windows

Memory: 8 GB vram
Usable for weights: ~7 GB
Power draw: ~150 W
Best runtime: llama.cpp CUDA (Pascal, no tensor cores)

Best models for Nvidia GeForce GTX 1070 (8GB) →

What you can run instead

Run Dia 1.6B on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Nvidia GeForce RTX 4060 Ti (16GB)Nvidia GeForce RTX 4080 (16GB)Nvidia GeForce RTX 4090 (24GB)Nvidia GeForce RTX 3090 (24GB)

FAQ

Can Nvidia GeForce GTX 1070 (8GB) run Dia 1.6B?

Needs ~10 GB at fp16, but only ~7 GB is usable on Nvidia GeForce GTX 1070 (8GB).

How much memory does Dia 1.6B need?

Nvidia GeForce GTX 1070 (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.