Using Generable with MLX Swift! 🤩

Introducing MLX-Swift-TS An SDK for running time series foundation... models fully on-device on Apple Silicon. When I joined Datadog, Inc. , I was introduced to Toto, our time series foundation model, and got excited about zero-shot forecasting across different domains. While building a health copilot app, I realized there wasn’t a simple way to run models like these locally on device. So I built one. MLX-Swift-TS exposes a common TimeSeriesForecaster interface for loading and running multiple time series architectures directly in Swift using MLX. No server required. The attached video shows on-device forecasting running inside a native Swift app. Huge thanks to Awni Hannun and the MLX team for building MLX and its Swift API, Prince Canuma for inspiration on MLX SDK patterns, and Ameet Talwalkar and the Datadog team for Toto.show more

Apple wasn’t kidding, the iPhone 17 Pro is really... built for running LLMs Here’s LFM2 8B A1B by running on-device with MLX in Locally AI - Local AI Chat, the iPhone runs the 8B model with zero struggle Thanks Prince Canuma for the port to MLX, it made the MLX Swift port possibleshow more

Google's Gemma 4 26B A4B running on MacBook Pro... M5 Max 100% native Swift Achieving over 100tk/s with Apple MLX frameworkshow more

Llama 3.2 1B in 4-bit runs at ~60 toks/sec... with MLX Swift on my iPhone 15 pro. It's quite good and easily runs on-device:show more

GLM-4.7 Flash by Z.ai running on M3 Ultra using... MLX! 4bit at 81 toks/s 🔥 8bit at 64 toks/s 🔥 (video below) Model converted from transformers to MLX on the fly with Codex + GPT-5.2 HIgh!show more

DeepSeek R1 distilled to Qwen 1.5B easily runs on... my iPhone 16 with MLX swift. Here's the 4-bit model reasoning entirely on device at almost 60 toks/sec:show more

MLX Swift LLM example works with: - Mistral /... Llama - Phi-2 - Qwen 1.5 - Starcoder 2 Quick-start: Qwen 1.5 0.5B runs pretty fast in 16-bit on my iPhone 14, no quantization needed:show more

Today I'm launching a very early release of MLX... Model Manager ( A Swift package for quickly and easily adding LLM/VLMs with just a couple of lines of code into your MacOS/iOS applications for local and private inferencing. This is built on the amazing work of the MLX team & what they have done with MLX Model Manager unifies the work they have done with MLXLLM as well as MLXVLM into one package with added abstractions to simplify the usage. I've also added support for Google's new Paligemma2 Vision Model ( You can see a demonstration in the video below! Huge shoutout to Awni Hannun for the creation of MLX, David Koski on leading the charge for MLXVLM and Prince Canuma for the creation of MLX-VLM. Three massive pillars in the MLX community among many others.show more

I wanted to try Maple-Preview by DeepGrove on iPhone... so I simply ported the model to MLX Swift using Bionic Maple runs at ~80tk/s on iPhone 17 Pro with my quick port, it’s a 20B-A1B model at 2-bit The model is close to Qwen3.5 35-A2B in many benchs and runs easily on iPhoneshow more

chat app with the new mlx foundation models

Running Kimi K2.5 on my desk. Runs at 24... tok/sec with 2 x 512GB M3 Ultra Mac Studios connected with Thunderbolt 5 (RDMA) using EXO Labs / MLX backend. Yes, it can run clawdbot.show more

Another day, another Taylor Swift dance🤩

DeepSeek-R1-0528-Qwen3-8B running on iPhone 16 with MLX