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.
Run and manage multiple AI models optimized for AMD hardware, ensuring high performance and easy model switching.
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Free · no card · unsubscribe anytimeHigh-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.
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 is an open-source project.
Yes. halofpx is free and open source — you can use, modify and self-host it.
halofpx is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.