Can I Run / Muse Glimmer 30B / on Apple M3 Ultra (96GB)

Can I Run Muse Glimmer 30B on a Apple M3 Ultra (96GB)?

Yes

Runs at full precision (fp16). Zero quality loss.

Model size
30.0B
GPU memory
96.0GB
Smallest quant
Q4_K_M
Best fit
fp16

5 quantizations fit your 96.0GB

QuantMin VRAMRecommendedFile sizeHeadroom
fp16BEST61.0 GB62.5 GB60.0 GB+35.0 GB
Q8_032.9 GB34.4 GB31.9 GB+63.1 GB
Q6_K25.7 GB27.2 GB24.7 GB+70.3 GB
Q5_K_M22.3 GB23.8 GB21.3 GB+73.7 GB
Q4_K_M19.2 GB20.7 GB18.2 GB+76.8 GB

Try it in the cloud first

Don't want to download Muse Glimmer 30B just to try it? Use a hosted API or rent a GPU by the second.

Affiliate links — we earn a commission at no cost to you.

Advertisement
Full model details
Muse Glimmer 30B

All quant variants, benchmark scores, and use-case tags.

Best models for this GPU
Apple M3 Ultra (96GB)

Top-ranked open-source models that fit in 96.0GB.

FAQ

Can the Apple M3 Ultra (96GB) run Muse Glimmer 30B?

Yes. The Apple M3 Ultra (96GB)'s 96.0GB of unified memory is enough to run Muse Glimmer 30B at fp16 quantization (61.0GB required).

What's the best quantization to use?

fp16 is the highest-precision quantization that fits in your 96.0GB. It uses about 61.0GB of memory and 62.5GB recommended for comfortable inference.

What if I need more headroom for context length?

KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.