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AI model

Muse Spark Open

Open-weight mixture-of-experts language model with 816 billion parameters.

Known aliases

  • Muse Spark Open
  • Muse Spark Open 816B A42B
  • Muse Spark Open 816B-A42B
  • Muse-Spark-Open-816B-A42B
  • Muse Spark Open model

Current stories

investConfirmed32 publishers

Running Meta's Muse Spark Open locally costs at least $21,598 in Mac Studios

Apple and Meta have enabled Meta's 816-billion-parameter Muse Spark Open model to run locally on clustered Mac Studios. CNBC reported that each 256GB M5 Ultra machine costs at least $10,799, so a two-machine cluster comes to $21,598 or more.

Perspective Coverage

31 publishers
Builder
Builder 41%
Operator
Operator 28%
Investor
Investor 31%

Reality

Evidence55
Adoption30
Hype gap+30
Incentives65
Confidence68
productOne report1 publisher

Apple and Meta get Muse Spark Open running on two to four Mac Studios

Apple says four Mac Studios run Meta's Muse Spark Open at over 36 tokens per second, Computerworld reports. The speed is Apple's own measurement, and the cost case is the columnist's inference from the price of four machines.

Reality

Evidence35
Adoption
Not scored
Hype gap+40
Incentives70
Confidence55
buildConfirmed13 publishers

Muse Spark Open's license asks hosted-model sellers above $20M in revenue for a written deal with Meta

Meta released Muse Spark Open, an 816B-parameter open-weight model that activates 42B parameters per token. Per The New Stack, a company above $20M in revenue needs a separate Meta agreement before selling it as a hosted service.

Perspective Coverage

13 publishers
Builder
Builder 40%
Operator
Operator 32%
Investor
Investor 28%

Reality

Evidence55
Adoption30
Hype gap+35
Incentives65
Confidence65
scienceOne report1 publisher

Four Mac Studios linked over Thunderbolt run an 816B-parameter model at over 36 tokens a second, Apple says

Apple says a cluster of four Mac Studios linked with RDMA over Thunderbolt generates over 36 tokens per second from an 816-billion-parameter model. The figure is Apple's own, from its MLX LM benchmark tool, and it covers generation speed only.

Publishers:machinelearning.apple.com

Reality

Evidence45
Adoption
Not scored
Hype gap+25
Incentives75
Confidence55