TokenAssemble

TokenAssemble helps users determine which large language models (LLMs) their specific hardware — including GPUs, Macs, or mini-PCs — can run effectively before a download or purchase is made. It provides a comprehensive evaluation based on several critical factors: • VRAM or unified-memory fit • Quantization compatibility • Context length suitability • Expected processing speed • Runtime support (e.g., Ollama, LM Studio, llama.cpp, vLLM) The tool offers a clear verdict and recommends optimal setups, ensuring users avoid compatibility issues and optimize their local computational resources. Whether you are building a local coding assistant, a private chat server, or exploring various large language models, TokenAssemble streamlines the setup process by connecting hardware, model, quantization, and runtime into one coherent answer. Ideal for developers, researchers, and enthusiasts looking to deploy large language models locally without guesswork. It supports informed decisions for hardware upgrades or model selections, maximizing efficiency and minimizing wasted effort.