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A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.
The main features of jd-opensource/xllm are: Inference and Serving, Inference Engines.
Projects with overlapping indexed features include: berriai/litellm — LiteLLM is a unified gateway and proxy server designed to centralize access to over one hundred language model… bigai-nlco/tokenswift — [ICML 2025] |TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation. bentoml/openllm — OpenLLM is a framework for deploying, managing, and scaling open-source large language models. augustdev/enchanted — Enchanted is a privacy-focused, cross-platform chat frontend for interacting with self-hosted large language models on… alexrozanski/llamachat — Chat with your favourite LLaMA models in a native macOS app. bklieger-groq/g1 — g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains.
OpenLLM is a framework for deploying, managing, and scaling open-source large language models
Chat with your favourite LLaMA models in a native macOS app
Enchanted is a privacy-focused, cross-platform chat frontend for interacting with self-hosted large language models on iOS and macOS. It serves as a native client for communicating with private model servers, specifically providing integration for the Ollama API. The application supports multimodal interactions, allowing users to combine text, image attachments, and voice prompts. It provides tools for local AI model management, including the ability to define persistent system prompts and switch between different models for specific tasks. The interface includes capabilities for rendering m
LiteLLM is a unified gateway and proxy server designed to centralize access to over one hundred language model providers. It provides a standardized API interface that abstracts vendor-specific schemas, allowing developers to interact with diverse models through a single, consistent format. By acting as a central traffic management layer, it enables organizations to route, secure, and govern model interactions across multiple deployments. The platform distinguishes itself through its policy-driven architecture, which uses configuration-based routing to manage traffic distribution, load balanc