Muse Spark Open VRAM requirements
Meta · 816B params (42B active) · Muse Model License. Estimates, not vendor numbers.
Muse Spark Open (816B parameters, 42B active per token) needs about 491 GB of VRAM or unified memory at Q4, 583 GB at Q5 and 868 GB at Q8 (weights plus about 1.5 GB headroom, our estimate). It is too large for the consumer setups we list; it needs a multi-GPU rig or a very large-memory Mac or server.
| Quant | Download | Memory needed |
|---|---|---|
| Q4 | 490 GB | 491 GB |
| Q5 | 581 GB | 583 GB |
| Q8 | 867 GB | 868 GB |
Will it run on my machine?
| Setup | Runs? | Speed est. |
|---|---|---|
| 8GB GPU (RTX 4060) | No | n/a |
| 12GB GPU (RTX 3060 / 4070) | No | n/a |
| 16GB GPU (RTX 4060 Ti 16GB) | No | n/a |
| 24GB GPU (RTX 4090) | No | n/a |
| 32GB GPU (RTX 5090) | No | n/a |
| Mac 16GB (M4) | No | n/a |
| Mac 48GB (M4 Pro) | No | n/a |
| Mac 128GB (M4 Max) | No | n/a |
| PC, 32GB RAM, no GPU | No | n/a |
Best quant that fits each setup, with estimated generation speed from memory bandwidth. Real speed depends on the runtime, context length and settings.
Needs about 537 GB at NVFP4 (Meta). Two M5 Ultra Mac Studios or a multi-GPU server.
FAQ
How much VRAM does Muse Spark Open need?
About 491 GB at Q4, 583 GB at Q5 and 868 GB at Q8, including about 1.5 GB headroom. These are estimates from the parameter count on the official model card.
Can Muse Spark Open run on 8GB of VRAM?
Not fully on the GPU. At Q4 it needs about 491 GB; partial CPU offload works but is much slower.
Can Muse Spark Open run on a Mac?
Not on the Mac configurations we list; it needs more unified memory.
Which quant of Muse Spark Open should I use?
Use the highest quant that fits with room to spare: Q8 is near full quality, Q5 is a good balance, and Q4 is the smallest that usually keeps quality acceptable.
Why is Muse Spark Open fast for its size?
It is a mixture of experts: 816B parameters in total but only 42B are used per token, so it reads less memory per token. You still need memory for all 816B.
Similar-size models
DeepSeek R1 Distill Qwen 32B (32.8B) · Qwen3.6 35B A3B (35B) · Llama 3.3 70B Instruct (70B) · gpt-oss-120b (117B) · Mistral Small 4 (119B) · Qwen3.8 Flash Next (180B)