A user on Reddit's r/LocalLLaMA subreddit shared impressive performance benchmarks for the Muse Glimmer 30B model, achieving 253 tokens per second on an RTX 5090 GPU. This speed was attained using a specific quantization method (UD-Q5_K_M) and a draft PR (#26842) that moved the DFlash draft argmax from CPU to GPU, resolving a bottleneck. The user noted that this optimization matched Meta's published speeds and outperformed other methods like ngram-simple on coding workloads. AI
IMPACT Demonstrates significant speed improvements for local LLM inference, potentially enabling more complex applications on consumer hardware.
RANK_REASON User benchmark of an existing model with optimizations, not a new release from a frontier lab.
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