⚡ AMD Strix Halo Inference Optimizer

This is a highly specific, low-level infrastructure project optimized for running large language models on AMD's Strix Halo (gfx1151) architecture. Its core goal is straightforward: providing the fastest way to run the Qwen3.8-Flash-Next model on this particular hardware. The interesting part is its focus on the AMD ecosystem. While the open-source community has heavily optimized Nvidia pipelines, extreme optimizations for specific AMD APU or GPU architectures are less common. It leverages the HIP interface to maximize hardware performance, supports long-context and Mixture-of-Experts (MoE) inference, and exposes an OpenAI-compatible API. If you are working with this specific AMD hardware and need efficient local deployment, this is a highly targeted solution.