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PowerInfer

Tiiny-AI/PowerInfer

High-speed Large Language Model Serving for Local Deployment

GraphCanon updated 4d · GitHub synced 4d

9.7k stars591 forksLast push 3mo C++ MIT

Decision brief

PowerInfer is a C++ library designed for high-speed inference of large language models locally.

Good fit when

  • - If your deployment requires local handling of large language model inference with high-speed performance, PowerInfer excels in offering this capability using the C++ environment.
  • For projects valuing MIT license compatibility to support open-source or commercial use without restrictions on derivative works, PowerInfer's permissive license is a significant advantage.

Avoid when

  • - Consider alternatives if you prefer frameworks with more extensive Python support, as the setup and conversion scripts in PowerInfer primarily use Python to prepare models despite it being a C++-dr븐

Observed Jul 11, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (97d since push)
As of 4d
Provenance
Not a fork · Organization account
As of 4d
Security (OSV)
46 low (46 low)
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/Tiiny-AI/PowerInfer

How it fits your stack(5)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Tiiny-AI/PowerInfer is a C++ library aimed at providing high-speed inference services for large language models locally.

Capability facts

Languages
c++

Source: github.language · Aug 17, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 17, 2026)

python convert.py --outfile /PATH/TO/POWERINFER/GGUF/REPO/MODELNAME.powerinfer.gguf /PA
Source link

Tags

README

Getting Started

  • Installation
  • Model Weights
  • Inference

make sure that you have done pip install -r requirements.txt

python convert.py --outfile /PATH/TO/POWERINFER/GGUF/REPO/MODELNAME.powerinfer.gguf /PATH/TO/ORIGINAL/MODEL /PATH/TO/PREDICTOR

For agents

This page has a .md twin and JSON over the API.

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