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halofpx
Python

halofpx

High-performance Lemonade alternative for AMD Strix Halo & Radeon — latest MoE models (Ling-3.0-Flash, Qwen 3.8 Flash Next, Ornith 1.5), bleeding-edge RDNA 3.5 Wave64/ROCmFP4 kernels, and silicon-tuned profiles.

by julianmb · GitHub
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amd-ryzen-aifp4ggufPythonSelf-hostable
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Run and manage multiple AI models optimized for AMD hardware, ensuring high performance and easy model switching.

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9677
2026-09-242026-11-15
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📄 About

High-performance Lemonade alternative for AMD Strix Halo & Radeon — latest MoE models (Ling-3.0-Flash, Qwen 3.8 Flash Next, Ornith 1.5), bleeding-edge RDNA 3.5 Wave64/ROCmFP4 kernels, and silicon-tuned profiles.

halofpx has 95 stars on GitHub. It has been forked 4 times. halofpx is written mainly in Python. It has been in active development since 2026. Its main topics are amd-ryzen-ai, fp4, gguf, halofpx.

❓ Frequently asked questions

What is halofpx?

High-performance Lemonade alternative for AMD Strix Halo & Radeon — latest MoE models (Ling-3.0-Flash, Qwen 3.8 Flash Next, Ornith 1.5), bleeding-edge RDNA 3.5 Wave64/ROCmFP4 kernels, and silicon-tuned profiles.

Is halofpx open source?

halofpx is an open-source project.

Is halofpx free?

Yes. halofpx is free and open source — you can use, modify and self-host it.

What language is halofpx written in?

halofpx is written mainly in Python.

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