Question: Can you recommend a tool that helps me find open-source language models suitable for my project's specific requirements?

LLM Explorer screenshot thumbnail

LLM Explorer

If you want a single tool to search and manage open-source language models, LLM Explorer is a great option. The site indexes more than 35,000 models, with filters for parameters like size, benchmark scores and memory usage. You can compare models side by side, and the site offers details like code generation abilities and licensing terms. It's geared for AI enthusiasts, researchers and industry professionals who need to quickly find the right models for their projects.

Meta Llama screenshot thumbnail

Meta Llama

Another interesting project is Meta Llama, which offers a variety of large language models for programming, translation and dialogue generation. The project includes Meta Llama 3, Meta Code Llama and Meta Llama Guard, with a range of sizes for different tasks. The models are designed to scale and come with broad-use licenses, so they can be used for both research and commercial projects. The community approach helps ensure responsible development and collaboration.

Predibase screenshot thumbnail

Predibase

For developers who want to fine-tune and serve LLMs, Predibase is a powerful option. It supports a broad range of models and offers serving infrastructure costing less to operate, free serverless inference and enterprise-level security. Predibase lets you fine-tune models for specific tasks like classification and code generation, so it's a good option for a wide range of use cases.

Langfuse screenshot thumbnail

Langfuse

Last, Langfuse is an open-source platform for debugging, analyzing and iterating on LLM applications. It offers features like tracing, prompt management and detailed analytics. Langfuse supports integration with several SDKs and frameworks, so it's a good option for developers trying to optimize and improve their LLM applications.

Additional AI Projects

Flowise screenshot thumbnail

Flowise

Orchestrate LLM flows and AI agents through a graphical interface, linking to 100+ integrations, and build self-driving agents for rapid iteration and deployment.

Forefront screenshot thumbnail

Forefront

Fine-tune open-source language models on your own data in minutes, without infrastructure setup, for better results in your specific use case.

Airtrain AI  screenshot thumbnail

Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

Humanloop screenshot thumbnail

Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

LM Studio screenshot thumbnail

LM Studio

Run any Hugging Face-compatible model with a simple, powerful interface, leveraging your GPU for better performance, and discover new models offline.

Mistral screenshot thumbnail

Mistral

Accessible, customizable, and portable generative AI models for developers and businesses, offering flexibility and cost-effectiveness for large-scale text generation and processing.

Langtail screenshot thumbnail

Langtail

Streamline AI app development with a suite of tools for debugging, testing, and deploying LLM prompts, ensuring faster iteration and more predictable outcomes.

Vellum screenshot thumbnail

Vellum

Manage the full lifecycle of LLM-powered apps, from selecting prompts and models to deploying and iterating on them in production, with a suite of integrated tools.

Ollama screenshot thumbnail

Ollama

Access a diverse library of large language models, customize and create your own, and deploy across macOS, Linux, and Windows with GPU acceleration.

Prem screenshot thumbnail

Prem

Accelerate personalized Large Language Model deployment with a developer-friendly environment, fine-tuning, and on-premise control, ensuring data sovereignty and customization.

Lamini screenshot thumbnail

Lamini

Rapidly develop and manage custom LLMs on proprietary data, optimizing performance and ensuring safety, with flexible deployment options and high-throughput inference.

Hugging Face screenshot thumbnail

Hugging Face

Explore and collaborate on over 400,000 models, 150,000 applications, and 100,000 public datasets across various modalities in a unified platform.

PROMPTMETHEUS screenshot thumbnail

PROMPTMETHEUS

Craft, test, and deploy one-shot prompts across 80+ Large Language Models from multiple providers, streamlining AI workflows and automating tasks.

Openlayer screenshot thumbnail

Openlayer

Build and deploy high-quality AI models with robust testing, evaluation, and observability tools, ensuring reliable performance and trustworthiness in production.

MonsterGPT screenshot thumbnail

MonsterGPT

Fine-tune and deploy large language models with a chat interface, simplifying the process and reducing technical setup requirements for developers.

GradientJ screenshot thumbnail

GradientJ

Automates complex back office tasks, such as medical billing and data onboarding, by training computers to process and integrate unstructured data from various sources.

Klu screenshot thumbnail

Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

Freeplay screenshot thumbnail

Freeplay

Streamline large language model product development with a unified platform for experimentation, testing, monitoring, and optimization, accelerating development velocity and improving quality.

Deepchecks screenshot thumbnail

Deepchecks

Automates LLM app evaluation, identifying issues like hallucinations and bias, and provides in-depth monitoring and debugging to ensure high-quality applications.

Keywords AI screenshot thumbnail

Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.