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How much VRAM does Muse Spark Open 816B A42B need?

Muse Spark Open 816B A42B needs 464 GB for its weights at 4-bit, 466 GB with an 8K context and 468 GB with 32K. At 8-bit, 815 GB.

Parameters
822B
Active per token
42B
Longest context
1M
Released
Sep 2026
License
Muse Model License
Strongest at
Chat, Docs

Memory at each precision

Memory Muse Spark Open 816B A42B needs at each precision and context length
PrecisionWeightsWith 8KWith 32KWith 128K
16-bit1,531 GB1,533 GB1,535 GB1,541 GB
8-bit813 GB815 GB817 GB823 GB
6-bit628 GB630 GB631 GB637 GB
5-bit545 GB546 GB548 GB554 GB
4-bit464 GB466 GB468 GB474 GB
3-bit374 GB376 GB378 GB384 GB
2-bit287 GB289 GB291 GB297 GB
1.6-bit158 GB160 GB161 GB167 GB

One conversation, 16-bit context cache, runtime overhead included.

What runs it

The best way Muse Spark Open 816B A42B runs on common GPUs, Macs and AI boxes
MachineBest fitContextSpeedFirst reply
RTX 3060 12 GBToo big
RTX 4060 Ti 16 GBToo big
RTX 3090Too big
RTX 4090Too big
RTX 5090Too big
2× RTX 3090Too big
RTX PRO 6000 BlackwellToo big
M4 Max 128 GBToo big
M5 Max 128 GBToo big
Ryzen AI Max+ 395 128 GBToo big
DGX Spark 128 GBToo big
M3 Ultra 256 GB1.6-bit352K40 tok/s26 s
M5 Ultra 512 GB2-bit1M35 tok/s8.1 s
H100 SXMToo big
DGX Station GB3001.6-bit1M183 tok/s0.7 s
8× H200 NVL8-bit1M59 tok/s0.4 s

Best fit is the highest quality, up to 8-bit, that leaves 16K of context. First reply is the wait for a 2K prompt. Speeds are rough, plus or minus 25%.

How to run it

llama.cpp
llama-server -hf unsloth/Muse-Spark-Open-816B-A42B-GGUF
vLLM
vllm serve meta-models/Muse-Spark-Open-816B-A42B
MLX (Mac)
mlx_lm.chat --model mlx-community/Muse-Spark-Open-816B-A42B-4bit

Questions

How much VRAM does Muse Spark Open 816B A42B need?

Muse Spark Open 816B A42B needs 464 GB for its weights at 4-bit, 466 GB with an 8K context and 468 GB with 32K. At 8-bit, 815 GB.

Can Muse Spark Open 816B A42B run on an RTX 4090?

Not on one card. The smallest machine here that runs it is the M3 Ultra 256 GB.

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