Best Continue AI Extension

llama.cpp is the foundational C/C++ library that powers much of the local LLM movement. It is renowned for its extreme optimization, allowing large models to run efficiently on consumer hardware, incl...

vLLM is less of a direct IDE plugin and more of a high-performance serving engine, making it ideal for developers building local AI services that need to handle multiple requests concurrently (e.g., a...

While not a specific tool, deploying the Mistral architecture locally (via Ollama or similar) is crucial for high-quality reasoning tasks. Mistral models are renowned for their excellent balance of pe...

Llama 3 represents the current benchmark for general-purpose, open-source LLMs. When run locally via a robust framework, it offers unparalleled conversational ability and context window handling. It i...

CodeLlama remains a highly specialized and reliable choice, as it was explicitly fine-tuned on massive datasets of code. If your primary need is pure, high-accuracy code completion, especially in nich...

Mixtral is celebrated for its Mixture-of-Experts (MoE) architecture, which allows it to achieve near-flagship performance while maintaining relatively fast inference speeds on consumer hardware. This...

Gemma, Google's open-weights family of models, offers a highly optimized and safety-conscious alternative. It is particularly strong for developers who prioritize Google's research backing and a model...

This tool provides a beautiful, ChatGPT-like graphical front-end specifically designed to interact with an Ollama backend. It significantly improves the user experience for testing models without need...

This Python binding allows developers to interact with the highly optimized llama.cpp engine directly within Python scripts. This is invaluable for creating custom, automated workflowsfor instance, wr...