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bstnxbt (Open Source)·May 3, 2026·latest·tools

dflash-mlx

dflash-mlx brings lossless DFlash speculative decoding to Apple Silicon via MLX, achieving up to 4.37x token generation speedup while guaranteeing every emitted token is verified against the target model. Uses a small ~1B draft model to generate 16 tokens in parallel via block diffusion, then verifies them in a single forward pass. Ideal for local LLM inference on Mac hardware.

Apple SiliconMLXSpeculative DecodingLocal LLMInferenceQwenOpen Source
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overview

dflash-mlx brings lossless DFlash speculative decoding to Apple Silicon via MLX, achieving up to 4.37x token generation speedup while guaranteeing every emitted token is verified against the target model. Uses a small ~1B draft model to generate 16 tokens in parallel via block diffusion, then verifies them in a single forward pass. Ideal for local LLM inference on Mac hardware.

key features
  • 01Up to 4.37x speedup on Qwen3.5-9B with 86-91% acceptance rates across all tested models
  • 02Lossless output: every token is verified via greedy acceptance before being committed — no hallucinated tokens
  • 03OpenAI-compatible server (dflash serve) supporting streaming, tool calls, and chat templates; works with OpenCode, aider, Continue, Open WebUI
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