Meta's Muse Glimmer 30B now runs up to ~3.3x faster on Mac with mlx-dspark

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Summary

A developer reports running Meta's Muse Glimmer 30B up to ~3.3x faster on Apple Silicon using speculative decoding in mlx-dspark, with byte-identical output and no quality tradeoff.

Been tinkering with speculative decoding on Apple Silicon for a while, and this week I got Meta's new Muse Glimmer 30B working in my project mlx-dspark. On my M4 Pro, the 8-bit model goes from 8.2 tok/s to 18-26 tok/s depending on content. Math is the best case at 3.27x, code 2.5x, chat 2.22x. Output is byte-identical to normal decoding since the target verifies every token, so there's no quality tradeoff; it's just faster. Meta's own DFlash numbers on Mac are 1.5x (M4 Max) / 1.8x (M5 Max), but those are on the 4-bit build, so not really apples-to-apples. 4-bit for me is ~1.7x at ~25 tok/s and only needs ~18GB. The 8-bit run peaks around 40GB, so you want a 48GB Mac for it. Basically, you get 8-bit quality at 4-bit speed. Repo: github.com/ARahim3/mlx-dspark I'm happy to hear feedback, and I'm curious about what other M-series chips get.
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I ran Muse Glimmer @ 1M context - All tests passed.

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User tests Meta's Muse Glimmer 30B on a 2× DGX Spark cluster, extending context from 131K to 1M tokens with YaRN and confirming passing retrieval at 832K tokens. Reports ~3× speedup from DFlash speculative decoding and shares full config.