Yes — Muse Glimmer 30B (30B) runs at 8 tok/s on M6 with 32 GB RAM using Q4_K_M quantization via MLX. First token latency is Nones. A capable open-source LLM with 30B parameters.
Want to run Muse Glimmer 30B faster — or step up to bigger models? Find your Mac →The LLMCheck index estimates Muse Glimmer 30B on M6 using our published methodology: Q4_K_M quantization, memory-bandwidth scaling, and cross-referenced third-party benchmarks where available. Figures are transparent estimates — own this config? Submit a real benchmark →
| Metric | Value |
|---|---|
| Tokens per second | 8 tok/s |
| Time to first token | Nones |
| Quantization | Q4_K_M |
| Minimum RAM | 32 GB |
| Recommended engine | MLX |
| Parameters | 30B |
| Benchmark date | 2026-08 |
Q4_K_M 30B MLX M6
The recommended engine for Muse Glimmer 30B on M6 is MLX. Install with pip and pull the model:
Alternatively, you can use Ollama for a simpler setup:
| Chip | Speed | First Token | Min RAM | Engine |
|---|---|---|---|---|
| M5 Max | 27 tok/s | 0.4s | 64 GB | MLX |
| M4 Max | 24 tok/s | 0.5s | 48 GB | MLX |
| M4 Pro | 10 tok/s | 0.8s | 24 GB | LM Studio |
To run Muse Glimmer 30B on M6 you need:
Muse Glimmer 30B needs about 32 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
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See how Muse Glimmer 30B stacks up against other models on your specific Mac hardware.
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