// Run models locally
exllamav3v1.6.0
An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs
Open source Maintained For developers
IN ONE PARAGRAPH
exllamav3 is an optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs .
Good for: Developers and teams who want to run models locally.
01How to start
- 1Read the official quick-start (link above).
- 2Install from the official package registry:
pip install exllamav3 - 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side → Ollama Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. ★ 184k llama.cpp LLM inference in C/C++ ★ 132k vllm A high-throughput and memory-efficient inference and serving engine for LLMs ★ 95k cherry-studio AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs ★ 53k LocalAI LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. ★ 50k
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