#65 · Primary category: Inference & Local Deploy
RWKV-Runner
A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.
Project last updated:07/07/26
GitHub Stars
6.5K
Forks
600
Contributors
12
License
MIT
Why we included this project
RWKV is a fully open-source LLM family you can run locally and even use commercially, and RWKV-Runner removes most of the setup pain. The tool handles model downloads, weight management, and startup inside a few-megabyte desktop app, so someone who has never touched a terminal can be chatting within minutes. It also exposes an OpenAI-compatible HTTP API, meaning existing ChatGPT clients, tools, and scripts can be pointed at your local instance without rewriting anything. That makes it a natural fit for teams that need data to stay on-premises, developers testing open-weight models, and hobbyists exploring local LLMs. For heavier workloads, you can run the Python backend on a GPU server and keep the lightweight GUI as a remote client.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
ollama
Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
llama.cpp
LLM inference in C/C++
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
LocalAI
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.