Best Jetbrains AI Local

llama.cpp is the gold standard for running large language models efficiently on consumer hardware, especially when GPU VRAM is limited. It specializes in highly optimized quantization (GGUF format) an...

Continue is a highly flexible extension that excels by acting as a universal interface for various local LLM backends, most notably Ollama. It allows developers to connect to models like CodeLlama or...

LM Studio is not an IDE plugin, but it is the single most crucial tool for accessing local models. It provides a user-friendly GUI to download, manage, and run quantized models (GGUF format) from vari...

As one of the most recently released and highly capable models, Llama 3 running via Ollama provides a state-of-the-art general-purpose experience locally. It excels in instruction following and reason...

vLLM is primarily known for its high-throughput serving capabilities, utilizing advanced techniques like PagedAttention. While it's often used for cloud deployment, running it locally allows developer...

While not local, GPT-4o serves as the essential benchmark against which all local tools must be measured. Its multimodal capabilities and advanced reasoning set the current industry standard for perfo...

While the primary offering is cloud-based, the local mode integration within the JetBrains ecosystem is highly valuable for its seamless, out-of-the-box experience. It aims to feel like a native exten...

Codeium offers a self-hosted deployment option that appeals to developers seeking a powerful, community-vetted alternative to proprietary tools. By hosting the inference engine locally, teams can leve...

This refers to the core, raw command-line interface of llama.cpp, used when maximum control over inference parameters is needed. It bypasses all GUI wrappers, giving the user direct access to the unde...

While Cursor is an entire IDE, its ability to be configured to use local LLMs (via Ollama or similar) makes it a powerful contender. It shifts the focus from mere completion to deep, chat-based unders...

For organizations with strict compliance needs, Tabnine's self-hosted option allows running its advanced code completion models entirely within your private infrastructure. It offers deep integration...

Mixtral 8x7B is a Mixture-of-Experts (MoE) model known for its massive context window and superior general reasoning. While not exclusively a coding model, its sheer intelligence makes it exceptional...

When accessed via a robust runner like Ollama, Code Llama remains a benchmark choice. It is specifically trained by Meta on code, giving it inherent strengths in generating syntactically correct and i...

MLC-LLM is a powerful, hardware-agnostic framework designed to run machine learning models efficiently across various platforms, including mobile and edge devices. For local AI, it offers a unique adv...

Tabnine has long been a leader in code completion, and its self-hosted enterprise solution is a top contender for local AI needs. It allows organizations to train models specifically on their propriet...

MLC-LLM focuses on compiling and optimizing models specifically for the target hardware (CPU, GPU, Metal). This deep-level optimization can sometimes yield performance gains that general runners miss,...

Bito is an AI coding assistant that focuses on developer productivity across the entire software development lifecycle. Beyond just code completion, it offers features for generating unit tests, summa...

GPT4All is a highly accessible, all-in-one desktop application designed for running various open-source models offline. While it lacks deep IDE integration, its primary strength is its extreme ease of...

This represents running Code Llama through a general, non-Ollama, local framework setup. While the model is excellent, the variability in the framework used (e.g., a specific Python wrapper) can lead...