audio model · musicgen · Windows

Can I run MusicGen large on Nvidia GeForce RTX 2060 (6GB)?

Compatibility verdict memory check

No, not enough memory would not load

Needs ~20 GB at fp32, but only ~5 GB is usable on Nvidia GeForce RTX 2060 (6GB).

Needs ~20 GB Device usable ~5 GB

Needs ~20 GB at fp32, but only ~5 GB is usable on Nvidia GeForce RTX 2060 (6GB).

The gap is about 15 GB: MusicGen large needs roughly 20 GB and Nvidia GeForce RTX 2060 (6GB) leaves only about 5 GB usable for a model. The lightest tracked hardware that runs MusicGen large is the Nvidia GeForce RTX 4090 (24GB) at 24 GB. See MusicGen large on Nvidia GeForce RTX 4090 (24GB).

Peak memory: ~20 GB
Usable on device: ~5 GB
Device memory: 6 GB
Quant: fp32

Share on X Share on Reddit

Model musicgen

Type: Music generation
Parameters: 3.3B
Peak memory: ~20 GB at fp32
License: CC-BY-NC-4.0

Full MusicGen large requirements →

Device Windows

Memory: 6 GB vram
Usable for weights: ~5 GB
Power draw: ~160 W
Best runtime: Ollama (CUDA) / llama.cpp CUDA

Best models for Nvidia GeForce RTX 2060 (6GB) →

What you can run instead

Run MusicGen large on other hardware

Nvidia GeForce RTX 4090 (24GB)Nvidia GeForce RTX 3090 (24GB)Nvidia GeForce RTX 5090 (32GB)

FAQ

Can Nvidia GeForce RTX 2060 (6GB) run MusicGen large?

Needs ~20 GB at fp32, but only ~5 GB is usable on Nvidia GeForce RTX 2060 (6GB).

How much memory does MusicGen large need?

Nvidia GeForce RTX 2060 (6GB) does not have enough memory. At fp32 the realistic peak is ~20 GB of memory.

What do I use to run MusicGen large locally?

MusicGen large runs in AudioCraft or HF Transformers. It needs a GPU.

Sources

VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-09-14. See methodology.