Chat-With-Mlx

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chat-with-mlx is an all-in-one LLM chat UI for Apple Silicon Macs, leveraging the MLX Framework. It enables privacy-enhanced AI conversations with various open-source models locally.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is chat-with-mlx?

chat-with-mlx provides an all-in-one chat playground for Large Language Models (LLMs) specifically designed for Apple Silicon Macs, utilizing the MLX Framework. It prioritizes privacy by allowing users to chat with their favorite models and data securely on their local device. The tool offers easy integration with HuggingFace and MLX Compatible Open-Source Models, including popular options like Llama-3, Phi-3, Yi, Qwen, Mistral, Codestral, Mixtral, and StableLM. Installation is straightforward via pip or Conda, making it accessible for developers and enthusiasts. It features a unified memory model and dynamic graph construction, characteristic of the MLX framework, ensuring efficient performance without data transfers between CPU and GPU.

Best used for

Ideal for developers and data scientists who need to run and interact with Large Language Models locally on Apple Silicon Macs, integrate various open-source models, and ensure privacy-enhanced AI conversations. Especially valuable for those leveraging the MLX framework for machine learning research and development.

Common actions

chat with LLMs

experiment with AI models

integrate open-source models

develop MLX applications

"AI Agents"face swappinglow-code/no-codedeepfakeworkflowsopen-sourceautomated workflowgithub copilotcollaboration

Capabilities

Key features

Privacy-enhanced AI chat
MLX Playground UI
Easy model integration
Supports diverse open-source models
Unified memory architecture

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of LLMs can I use with chat-with-mlx?

chat-with-mlx supports a variety of HuggingFace and MLX Compatible Open-Source Models. Default models include Llama-3, Phi-3, Yi, Qwen, Mistral, Codestral, Mixtral, and StableLM, along with their Dolphin and Hermes variants, allowing for broad experimentation.

Does chat-with-mlx require an internet connection to function?

Once models are downloaded, chat-with-mlx operates locally on your Apple Silicon Mac. This design enhances privacy and allows for offline use, as computations are performed directly on your device using the MLX framework.

Are there any known limitations or issues with chat-with-mlx?

Yes, some known issues include the need to manually stop downloads with Ctrl+C, manually stopping indexing to switch document files, and the requirement to select a dataset mode (Document or YouTube). Additionally, Phi-3-small may not support streaming in completions.

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Coding & Development › Open Source & Models

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