MergeKit — Visual LLM Merging & Benchmark Engine - Sell Project

MergeKit Cloud – AI Model Engineering & Infrastructure PlatformMergeKit Cloud is a cloud-based AI model engineering platform designed to simplify the discovery, merging, benchmarking, evaluation, and deployment of open-source AI models. Built around the open-source MergeKit engine, the platform brings multiple stages of model engineering into one integrated workspace. Users can discover compatible foundation models and specialist fine-tunes, receive AI-assisted merge recommendations, visually configure merge recipes, execute model merges using cloud GPU infrastructure, and benchmark resulting models against their parent models. The platform includes: AI Architect: AI-assisted model discovery and merge recommendations based on intended use cases, capabilities, and requirements. Model Library: A searchable catalog of foundation models and specialist fine-tunes. Visual Recipe Builder: A graphical interface for configuring model merges without manually writing YAML configurations. Benchmarking Suite: Evaluate models across reasoning, coding, mathematics, multilingual performance, instruction following, and other capabilities. Model Comparison: Compare parent models and merged outputs to identify measurable performance changes. GPU Cost Management: Track compute usage and estimated execution costs. Deployments: Manage model deployment workflows. Workspace & Administration: Manage projects, recipes, users, permissions, credits, and activity. The central idea is to make model engineering more accessible, measurable, and reproducible. Rather than simply producing a merged model, MergeKit Cloud aims to help users understand whether a merge actually improves the capabilities they care about, what trade-offs it introduces, and how much it costs. Target customers: AI developers, machine learning engineers, researchers, startups, and organizations working with open-source language models. Website: https://mergekit.com