If you're looking for a Hugging Face alternative, Humanloop is another top option. It's a collaborative workspace for developing and optimizing Large Language Model (LLM) applications. The workspace includes tools for workflow automation, in-depth testing, and collaboration, including a prompt management system with version control, an evaluation suite, and customization tools for model fine-tuning. Humanloop also integrates with major LLM suppliers and offers Python and TypeScript SDKs for integration, with pricing options for everything from rapid prototyping to enterprise use.
Another option is LLM Explorer. This one-stop shop has a massive library of 35,809 open-source LLMs and Small Language Models (SLMs), which can be filtered by attributes like model parameters, benchmark scores, and memory usage. It lets you compare models by attributes and abilities, so you can easily find and use the best language model for your business needs. The platform is geared for AI enthusiasts, researchers and industry professionals, so you can quickly find and deploy the latest language models.
If you prefer a no-code option, Airtrain AI is a good option. It offers an LLM Playground for testing models, a Dataset Explorer for visualizing and curating data, and tools to fine-tune models for your needs. The platform offers a variety of pricing options, including a free starter plan, so you can use it at whatever level is right for you. The idea is to make LLMs more accessible and affordable for rapid testing, fine-tuning and deployment.
Last, Predibase is a low-cost option for fine-tuning and serving large language models. It supports many models and offers a serverless inference option for up to 1 million tokens per day. The service is on a pay-as-you-go pricing model and offers enterprise-level security with SOC-2 compliance, so it's a good option for developers who want a scalable and secure option.