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// Run models locally

LMCachev0.5.6

LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

Open source Maintained For developers

Official site ↗ GitHub ↗

IN ONE PARAGRAPH

LMCache is LMCache: Supercharge Your LLM with the Fastest KV Cache Layer.

Good for: Developers and teams who want to run models locally.

01How to start

  1. 1Read the official quick-start (link above).
  2. 2Install from the official package registry: pip install lmcache
  3. 3Try it on a small example before wiring it into a project.

PyPI: lmcache

02Alternatives & comparison

Compare side by side →
gpustack A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances. ★ 5.9k inference Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API. ★ 9.6k vllm A high-throughput and memory-efficient inference and serving engine for LLMs ★ 95k ramalama RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers. ★ 3.1k sglang SGLang is a high-performance serving framework for large language models and multimodal models. ★ 38k

03Related

Versions, why it is listed, for AI to read

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