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LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
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Latest capture 2026-07-15 03:12
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Cargo.toml
rust ecosystem,
18 dependencies
CMakeLists.txt
c-cpp ecosystem,
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swift ecosystem,
10 dependencies
requirements.txt
python ecosystem,
81 dependencies
Cargo.lock
rust ecosystem,
143 dependencies
c/CMakeLists.txt
c-cpp ecosystem,
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Harness LLMs with Multi-Agent Programming
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
Fast, flexible LLM inference
🏗️ Fine-tune, build, and deploy open-source LLMs easily!
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
