Summary
A new MLX implementation called DFlash is being developed for Apple Silicon, utilizing speculative decoding to significantly boost local LLM inference speed. On an M5 Max, DFlash achieved a 3.3x speedup for Qwen3.5-9B, reaching 85 tokens/s while maintaining identical output quality to the baseline. This development makes running large language models locally on Apple hardware much faster and more efficient.
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