Muse Spark Open
Muse Spark Open publishes its weights, but at 816B parameters (42B active per token) no consumer machine holds the checkpoint. This page covers the access paths that work and the open models that actually run locally.
- Parameters
- 816B(42B active)
- Format
- API
- Runs locally
- No
- Best for
- Agentic coding, Multimodal, Long context
Why you can't run Muse Spark Open locally
At 816B parameters (42B active per token), a Q4-class build of Muse Spark Open would need roughly 490 GB, beyond any consumer machine. That figure is arithmetic, not opinion: 0.6 GB per billion parameters is the standard Q4 rule we apply across the whole catalog. The weights themselves are public (official source linked below); capacity, not licensing, is the wall.
What works instead: the hosted API. For most workloads, the open models below deliver the same job on hardware that fits under a desk.
Meta's open-weight Muse model (Sept 2026): a mixture of experts with about 816B total and 42B active parameters per token, text, image, audio and video input, and a context window of up to 1M tokens. BF16 and NVFP4 checkpoints are on Hugging Face (access on request). Mainline llama.cpp and MLX support it, but even its 2-bit GGUF runs to hundreds of gigabytes, so ollama run muse-spark-open:cloud streams it from Ollama Cloud for nearly everyone.
What to run locally instead of Muse Spark Open
| Model | Params | Runs on | Use |
|---|---|---|---|
| Qwen3 235B A22B | 235B | from 192 GB machines | quality |
| Qwen3.5 122B-A10B Instruct | 122B | from 96 GB machines | frontier-level reasoning |
| DeepSeek-R1 671B | 671B | from 512 GB machines | reasoning |
More Muse models
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Frequently asked questions
Can I run Muse Spark Open locally?
Not on hardware you can buy. The weights are public, but Muse Spark Open is a 816B-parameter model (42B active), and a Q4-class build would need roughly 490 GB, beyond any consumer machine. Until the ecosystem ships a smaller official build, the API or a smaller open model is the practical path.
How do I access Muse Spark Open?
Through the vendor's hosted API. The official source is linked on this page.
What is the best local alternative to Muse Spark Open?
Qwen3 235B A22B is the strongest local model we track (235B, from 192 GB machines), with Qwen3.5 122B-A10B Instruct close behind. Both run on a single high-memory Mac or GPU, see their pages for exact hardware.
Cite this page
ModelFit: Muse Spark Open, specs, memory math and hardware verdicts. https://modelfit.io/models/muse-spark-open/ (dataset updated 2026-10-24, CC BY 4.0).