MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
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+139
STARS · LAST 30 DAYS
5
PER DAY
#261
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +17 | +139 | +450 |
| Per day | 2 | 5 | 5 |
| Forks gained | +4 | +16 | +41 |
mlx-vlm gained 139 stars in the last 30 days, about 5 a day, and now has 5.6K. It is about 2 years old and has averaged roughly 2.8K stars a year. It ranks #261 among Python repositories and #1,650 across all languages on GitHubRepo.
Trending Record
10
DAYS ON TRENDING
#932
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mlx-vlm has maintained a continuous presence across global trending indexes, peaking at #932. Below is the 30-day activity profile:
💡 Overview
mlx-vlm is an open-source project written in Python: MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
Engineered for speed, consistency, and developer ease, it solves common hurdles in apple-silicon, florence2, idefics. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install mlx-vlm⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mlx-vlm coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with mlx-vlm.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install mlx-vlm using your package manager: `pip install mlx-vlm`
Initialize your project workspace or configuration file for mlx-vlm.
Import mlx-vlm into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mlx-vlm --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Blaizzy/mlx-vlm is currently ranked #1,650 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #1,650 | Blaizzy/mlx-vlm This Project | Python | ★ 5.6K | |
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Frequently Asked Questions
What does mlx-vlm do? +
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
What language is mlx-vlm written in? +
The primary language is Python. Topics include: apple-silicon, florence2, idefics, llava, llm.
Is mlx-vlm actively maintained? +
Yes, the last recorded push was on Oct 2, 2026 with 188 open issues being tracked.
How many stars does mlx-vlm have? +
mlx-vlm has 5,562 stars and 811 forks on GitHub.
How does mlx-vlm rank among GitHub repositories? +
With 5,562 stars, Blaizzy/mlx-vlm is ranked #1,650 globally across all repositories tracked on GitHubRepo and #261 among Python projects.
What license is mlx-vlm distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
