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rkllama

NotPunchnox/rkllama

Ollama alternative for Rockchip NPU with optimized AI and Deep learning model inference

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

43views this month

605 stars99 forksLast push Aug 25, 2026 Python GPL-3.0

Decision brief

Ollama alternative for Rockchip NPU: optimized AI and deep learning inference on Rockchip devices

Good fit when

  • You need to run models specifically optimized for Rockchip Neural Processing Unit (NPU)
  • Your deployment involves Rockchip hardware like rk3576, rk3588, Orange Pi 5 Pro

Avoid when

  • Your hardware does not include a Rockchip NPU
  • You are looking for an AI solution that works across multiple non-Rockchip platforms

Observed Jul 16, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Active (25d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

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

Install

pip install rkllama
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

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

Overview

This repository provides an efficient solution for running AI and deep learning models on Rockchip devices, featuring enhanced support for Rockchip Neural Processing Unit (NPU) through rkllm.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Sep 20, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 20, 2026

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Sep 20, 2026

Languages
python

Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

python -m pip install .
Source link

Tags

README

Tested Hardware and Environment Hardware : Orange Pi 5 Pro: (Rockchip RK3588S, NPU 6 TOPS), 16GB RAM. Hardware : Orange Pi 5 Plus: (Rockchip RK3588S, NPU 6 TOPS), 16GB RAM. Hardware : Orange Pi 5 Max: (Rockchip RK3588S, NPU 6 TOPS), 16GB RAM. Hardware : Radxa Rock 4d: (Rockchip R...

For agents

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

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