What Models?

Pick the right model for your GPU — in seconds.

What GPU do you need to run Muse Glimmer 30B?

29.78B params 128K max context VisionTool useReasoning

The smallest GPU memory that runs Muse Glimmer 30B well is 16 GB (Q4_K_M, e.g. RTX PRO 2000 Blackwell). 72 of 132 GPUs run it well.

SWE-bench Verified 76

VRAM needed per quantization

QuantizationWeights16K context32K contextFull 128K
Q4_K_M15.6 GB15.8 GB16.0 GB17.1 GB
Q8_027.6 GB27.8 GB28.0 GB29.1 GB

Weights plus fp16 KV cache. Leave ~1 GB headroom for the inference engine.

Cheapest GPUs that can run Muse Glimmer 30B

Lowest launch MSRP among GPUs that run its smallest quantization (Q4_K_M) well, with at least 16K context.

As an Amazon Associate, I earn from qualifying purchases.

GPUs that can run Muse Glimmer 30B

Best quantization that fits on each GPU, with the context and speed it gets. For chips with several memory sizes, the smallest that works is shown.

NVIDIA

AMD

Intel

Apple

  • M1 16 GB Q4_K_M 32K context · ~4 tok/s
  • M1 Pro 16 GB Q4_K_M 32K context · ~12 tok/s
  • M2 16 GB Q4_K_M 32K context · ~6 tok/s
  • M2 Pro 16 GB Q4_K_M 32K context · ~12 tok/s
  • M3 16 GB Q4_K_M 32K context · ~6 tok/s
  • M4 16 GB Q4_K_M 32K context · ~7 tok/s
  • M5 16 GB Q4_K_M 32K context · ~9 tok/s
  • M6 16 GB Q4_K_M 32K context · ~9 tok/s
  • M3 Pro 18 GB Q4_K_M 128K context · ~9 tok/s
  • M4 Pro 24 GB Q4_K_M 128K context · ~16 tok/s
  • M5 Pro 24 GB Q4_K_M 128K context · ~18 tok/s
  • M1 Max 32 GB Q8_0 128K context · ~14 tok/s
  • M2 Max 32 GB Q8_0 128K context · ~14 tok/s
  • M3 Max 36 GB Q8_0 128K context · ~10 tok/s
  • M4 Max 36 GB Q8_0 128K context · ~14 tok/s
  • M5 Max 36 GB Q8_0 128K context · ~16 tok/s
  • M1 Ultra 64 GB Q8_0 128K context · ~28 tok/s
  • M2 Ultra 64 GB Q8_0 128K context · ~28 tok/s
  • M3 Ultra 96 GB Q8_0 128K context · ~29 tok/s
  • M5 Ultra 96 GB Q8_0 128K context · ~42 tok/s
Check your exact setup in the full tool →