LLM models

The new open source language model available for commercial use. Beta version available on request. An AI created by Meta

A fast and economical LLM model that offers in-depth reasoning, computational usage, and extensive contextual understanding. It is close to the level of Sonnet 4, but costs three times less

An open-source model with 40 billion parameters specializing in code that outperforms Claude Sonnet with an 81% success rate on SWE-Bench. Its architecture, trained on rest evolution, guarantees professional-quality code

An open source model with 685 billion parameters offering impressive performance in coding, AI agent deployment, and reasoning. Also offers a low-cost API

A rather compact LLM model with 1.6 billion parameters. Ideal for developers looking for a balance between speed and performance

Anthropic's new AI model with impressive capabilities in coding, agentic tasks, and (very) complex reasoning

A high-performance AI model, capable of complex reasoning in several languages. Impressive results, close to GPT-4

A non-generative LLM model that learns by watching videos. It produces excellent recognition and detection results

A free, open-source MoE model with 1,000 billion parameters, optimized for AI agent, programming and reasoning tasks. It outperforms the best proprietary models (SOTA)

A high-performance, multilingual conversational chatbot trained on a 7B parameter model

Powerful open-source LLM models designed by Apple directly on your devices, without the cloud. Trained with evolutionary algorithms for maximum accuracy

Chat with the most popular AI assistants created by the HuggingFace community. Models used: Llama-2, Openchat, Mixtral, etc.