model
Meta Muse Spark Open: how much memory, and what runs it
MoE, 256 experts, 8 active per token, 1.8B perception encoder plus audio encoder. The card states 816B total / 42B active; Hugging Face metadata lists 822B including the vision and audio encoders. Licence (Muse Model License): products must display "Built with Muse Spark Open". Model-as-a-Service offerings by licensees whose group revenue exceeds US$20M in any 12 months need a separate agreement with Meta. Internal use and powering your own non-MaaS product are exempt. Gated download (accept terms on Hugging Face). Model card: "optimized to run on two Mac Studios with M5 Ultra using MLX". NVFP4 is for Blackwell GPUs only and needs at least 700GB of VRAM per the card. Vision projector (mmproj) is not a fit row: Q8_0 2.18 GB and BF16 4.10 GB, so add +2.2–4.1 GB for image/audio input. HF blog: 2-bit GGUF (304 GB) ran at 18 tok/s and oQ3e MLX at ~21 tok/s generation on a Mac Studio M3 Ultra 512GB (vendor/HF-reported, single test, not ours). Ollama offers muse-spark-open:cloud only (no local tag on 17 Oct 2026, https://ollama.com/library/muse-spark-open/tags). Supported in mainline llama.cpp (ggml-org GGUFs), vLLM, SGLang, mlx-lm/oMLX. Speed is not estimated: the formula streams every weight and understates sparse MoE.
Meta Muse Spark Open needs about 471.8 GB at Q4_K_M with 8K context (estimate). See which GPUs and Macs fit it, and EU prices. Speed is not estimated for this mixture-of-experts model.
| Quantisation | Estimated memory |
|---|---|
| Q4 | 471.8 GBestimate |
| Q5 | 581.1 GBestimate |
| Q8 | 874.8 GBestimate |
| FP16 | 1,633.7 GBestimate |
At 8,192 tokens of context. Catalog quant rates are a formula. sourceUrl on that memory stays null.
Parameter count source: huggingface.co/meta-models/Muse-Spark-Open-816B-A42B. 816B total, 42B active. Memory math uses the total.
VRAM per quant and the cheapest rig for Meta Muse Spark Open
Three setups
Meta Muse Spark Open · Q4 · 8,192 ctx
Estimated memory
471.8 GBestimate
470.1 GB weights · 0.9 GB KV cache · 0.8 GB overhead
Nothing in this dataset can run this model, not even with CPU offload.
Tokens per second are estimated from memory bandwidth, not from a measured benchmark. Prices incl. VAT, excl. shipping. USD = FX estimate, excl. sales tax. A price without a checked listing is marked price unverified. Run llama-bench yourself before you buy.
Want a build tailored to you? Custom report
Get new builds when GPU prices move
End of results
Embed this
[](https://localllmrig.com/can-i-run/muse-spark-open/rtx-3060-12gb?utm_source=badge)
Model badge
[](https://localllmrig.com/models/muse-spark-open?utm_source=badge)
Common questions
- How much memory does Meta Muse Spark Open need at Q4?
- About 471.8 GB at 8,192 tokens: 470.1 GB weights, 0.9 GB KV cache, 0.8 GB overhead. That is an estimate. sourceUrl stays null.
- Does Meta Muse Spark Open fit on a single 24 GB GPU?
- Not in full. The estimate is 471.8 GB, and a 24 GB card leaves 23.4 GB usable. sourceUrl stays null.
- Are the tokens per second measured?
- speed: not estimated for MoE yet