30B Model Hits 114 tps with Tuned Quants, Targeting <16G VRAM
tokenbender · x · 2026-08-10
Developer @tokenbender shared recent benchmarks in local LLM inference optimization. By utilizing tuned quants and dflash, the Muse Glimmer 30B model achieved an impressive inference speed of 114 tokens/s.
This progress makes him confident that he can eventually slice out the model's agentic capabilities and run it smoothly on consumer hardware with less than 16GB of VRAM.
Related event: Meta Open-Sources 30B Muse Glimmer for On-Device Agents(108 posts)→
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