Can Apple M3 Ultra run Muse Spark Open 816B-A42B?
Yes. Measured 21 tok/s generation (MLX (oMLX / mlx-lm), oQ3e (3-bit), ~344 GB; source).
Every measured result for Muse Spark Open 816B-A42B on Apple M3 Ultra
| Build | Quant / setup | Engine | tok/s | |
|---|---|---|---|---|
| Mac Studio M3 Ultra 512GB: Muse Spark Open 816B (Hugging Face test) | oQ3e (3-bit), ~344 GB | MLX (oMLX / mlx-lm) | 21 | source |
| Mac Studio M3 Ultra 512GB: Muse Spark Open 816B (Hugging Face test) | Q2_K (imatrix), ~304 GB | llama.cpp | 18 | source |
Memory: Apple M3 Ultra has 512 GB. Muse Spark Open 816B-A42B weights are about 499.2 GB at Q4_K_M (816B params × 4.89 bits ÷ 8, before context/KV cache). Arithmetic, not a measurement; long contexts need more. Check other quants in the VRAM calculator.
Speeds are decode (generation) tokens/sec as reported by each source; quant, engine and context differ, so small gaps are noise.
All measured speeds for Muse Spark Open 816B-A42B: best home rig for Muse Spark Open 816B-A42B.
Muse Spark Open 816B-A42B on other hardware: 2x Apple M5 Ultra · 4x Apple M5 Ultra
Other models measured on Apple M3 Ultra: DeepSeek R1 671B · Mistral Medium 3.5 128B · Qwen3.8 27B · gpt-oss 20B
Not enough VRAM? Rent before you buy. Run Muse Spark Open 816B-A42B on a bigger GPU on a rented 24–96 GB cloud GPU by the hour and see the real speed before spending €1,000+. Try it on Runpod
Referral link: if you sign up with Google and add $10, Runpod gives you and RigBase bonus credit (terms). It never affects our data.
Referral link: if you sign up with Google and add $10, Runpod gives you and RigBase bonus credit (terms). It never affects our data.