Transformer Lab is an open-source application for advanced LLM engineering, allowing users to interact, train, fine-tune, and evaluate large language models on their own computer. It supports various models, hardware, and inference engines and includes features like RAG, dataset building, and a REST API.
Unify your existing devices into one powerful GPU: iPhone, iPad, Android, Mac, NVIDIA, Raspberry Pi, pretty much any device!
SmolVLM2 represents a shift in video understanding technology by introducing efficient models that can run on various devices, from phones to servers. The release includes models of three sizes (2.2B, 500M, and 256M) with Python and Swift API support. These models offer video understanding capabilities with reduced memory consumption, supported by a suite of demo applications for practical use.
MLX-VLM: A package for running Vision LLMs on Mac using MLX.
