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raullenchai/Rapid-MLX

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Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.

5 mentions on Hacker News by 2 people: 1 story, 4 comments · first 2026-04-18 · latest 2026-10-01

Mentions per year 5 mentions · busiest year 2026 (5)
20082026
  1. …optimized for self-hosted agents on Apple silicon. It’s my current choice for self-hosted models. https://github.com/raullenchai/Rapid-MLX
  2. …this model family with X parameters” you have to add the architecture specific quantization too. https://github.com/raullenchai/Rapid-MLX
  3. …called Model-Harness Index: MHI = 0.50 × ToolCalling + 0.30 × HumanEval + 0.20 × MMLU (scale 0-100) https://github.com/raullenchai/Rapid-MLX
  4. …Routing based on new tokens after cache hit. --cloud-model openai/gpt-5 --cloud-threshold 20000 https://github.com/raullenchai/Rapid-MLX