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Llama.cpp is a GitHub repository or organization with source code, releases, documentation, or project resources.

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.

llama.cpp provides conversational AI for questions, tasks, and general assistance.

"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".

A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.

Official inference framework for 1-bit LLMs, by Microsoft. opensource.

Port of OpenAI's Whisper model in C/C++. It can be executed locally.

Psst, kid, want some cheap and small LLMs?

Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.

A self-hosted copilot clone that uses the library behind llama.cpp to run the 6 billion parameter Salesforce Codegen model in 4 GB of RAM.

Port of OpenAI's Whisper model in C/C++. opensource.

The broad reference for classical AI, including search, reasoning, planning, learning, and robotics.

Helps find, analyze or synthesize information for research and knowledge discovery.

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.

Simple yet flexible JavaScript charting library for the modern web.

A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.

Drop-in replacement for Jupyter and an AI-native workspace for modern data teams.

Python distributed computing library for modern computer clusters.

Ignite your models into blazing-fast machine learning APIs with a modern framework.

Modern columnar data format for ML implemented in Rust.

MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.

A workflow management system, designed for modern infrastructure.

A C++ library for unsupervised text tokenization and detokenization, widely used in modern NLP models.

Modern, enterprise-ready business intelligence web application.