MLX-LM

Headlines · 2

1. 7d
   MiniMax Releases Open-Weight MiniMax-M2.1 Model

   MiniMax released MiniMax-M2.1 under a Modified-MIT license, enabling local deployment and use through supported inference frameworks. The model is also available through the MiniMax Open Platform, while MiniMax Code, built on M2.1, is publicly available. MiniMax says the model targets coding, tool use, instruction following, and long-horizon planning, with benchmark improvements based on its own evaluations.

   MiniMax · Hugging Face · 🔥 0
2. Oct 7
   Rapid-MLX: open-source LLM server for Apple Silicon tops GitHub Trending

   Rapid-MLX is an Apache-2.0 local LLM inference server built on MLX for Apple Silicon, exposing both OpenAI (/v1/chat/completions, /v1/responses) and Anthropic Messages (/v1/messages) APIs and focusing on reliable tool calling for coding agents. The project claims up to 4× faster decoding than Apple's mlx-lm on identical weights: a 1.50× median across 18 streaming tasks with Qwen3.5-9B 4-bit on an M4 Pro Mac mini, and up to 4.27× on a whole-file code edit (46.4 to 198.4 tok/s), plus 3.0× Ollama's aggregate decode at 8 concurrent streams on Qwen3.6-35B-A3B. All figures are the project's own measurements, and much of its comparison table is drawn from other projects' own documentation.

   GitHub Trending · Python · 🔥 0

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