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The article reports that the Qwen3.8-Flash-Next model achieves 120 tokens/second generation speed and 12k tokens/second prefill on a system with 4x AMD R9700 GPUs using optimized vLLM and a custom Docker image.
Support for the Qwen3.8-Flash-Next model has been merged into llama.cpp, enhancing its capabilities for local LLM inference in C/C++.