Run LLMs on AMD Ryzen™ AI NPUs in minutes; purpose-built and deeply optimized for the AMD NPUs.
Run large language models on AMD Ryzen processors quickly and efficiently without needing a graphics card.
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FastFlowLM has 1.8k stars on GitHub. It has been forked 147 times. FastFlowLM is written mainly in C++. It has been in active development since 2025. FastFlowLM is available under the MIT license. Its main topics are amd, deepseek, llama, llm.
Run LLMs on AMD Ryzen™ AI NPUs in minutes; purpose-built and deeply optimized for the AMD NPUs.
FastFlowLM is an open-source project. It is released under the MIT license.
Yes. FastFlowLM is free and open source — you can use, modify and self-host it.
FastFlowLM is available under the MIT license.
FastFlowLM is written mainly in C++.
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