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High-speed Large Language Model Serving for Local Deployment
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Latest capture 2026-07-16 03:06
5 captures since 2026-05-25
Stars from baseline +142
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-16 03:06
CMakeLists.txt
c-cpp ecosystem,
9 dependencies
Package.swift
swift ecosystem,
1 dependency
requirements.txt
python ecosystem,
5 dependencies
common/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
examples/CMakeLists.txt
c-cpp ecosystem,
1 dependency
gguf-py/pyproject.toml
python ecosystem,
4 dependencies
pocs/CMakeLists.txt
c-cpp ecosystem,
1 dependency
powerinfer-py/pyproject.toml
python ecosystem,
3 dependencies
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An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
FlashInfer: Kernel Library for LLM Serving
Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.
SGLang is a high-performance serving framework for large language models and multimodal models.
QLoRA: Efficient Finetuning of Quantized LLMs
Making large AI models cheaper, faster and more accessible
