Skip to content
#

mlx-vlm

Here are 35 public repositories matching this topic...

A high-performance API server that provides OpenAI-compatible endpoints for MLX models. Developed using Python and powered by the FastAPI framework, it provides an efficient, scalable, and user-friendly solution for running MLX-based vision and language models locally with an OpenAI-compatible interface.

  • Updated Oct 12, 2026
  • Python

Defensive layer for mlx / mlx-lm / mlx-vlm on Apple Silicon. Prevents IOGPUFamily kernel panics, SIGABRT, and Mac reboots from MLX inference. Includes a community-curated registry of known-panic models (KNOWN_PANIC_MODELS) with hardware contexts, root-cause hypotheses, and verified workarounds.

  • Updated May 25, 2026
  • Python

MLX Porting Toolkit — an agent-guided, evidence-gated pipeline (scaffold → convert → parity → benchmark) plus a portable skill for porting PyTorch/Hugging Face models to Apple MLX.

  • Updated Oct 15, 2026
  • Python

Training-free decision engine for existing MLX models on Apple Silicon. No fine-tuning or extra decision weights. MLX-LM + experimental MLX-VLM action selection and semantic routing. Related: AnyJev.

  • Updated Oct 15, 2026
  • Python

Fast local LLM / VLM inference engine for Apple Silicon (MLX). OpenAI- and Anthropic-compatible, lossless speculative decoding (DFlash2 / MTP), hybrid-model prefix cache with RAM/SSD tiers, native Claude Code / Codex / opencode support. Qwen3.8-27B tuned first.

  • Updated Oct 17, 2026
  • Python

Add this topic to your repo

To associate your repository with the mlx-vlm topic, visit your repo's landing page and select "manage topics."

Learn more