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AI/amd-strix-halo-vllm-toolboxes
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1ddcb9a2027ff15d2d0a343c7213eb102916cfed
amd-strix-halo-vllm-toolboxes/benchmarks
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Donato Capitella 1ddcb9a202 feat: Configure ROCm attention via --attention-backend CLI argument, disable the Ray dashboard, and make eager mode configurable for cluster benchmarks.
2026-02-02 15:40:16 +00:00
..
benchmark_results
updates
2025-12-20 11:37:06 +00:00
benchmark_results_rocm_attn/benchmark_results
added ROCm/Triton attention comparison
2025-12-20 11:49:03 +00:00
find_max_context.py
feat: Optimize model max_num_seqs and global benchmark parameters for Strix Halo, and centralize configurations in models.py.
2026-02-02 08:45:13 +00:00
max_context_results.json
updating max context results
2026-02-02 11:56:26 +00:00
run_vllm_bench.py
feat: Configure ROCm attention via --attention-backend CLI argument, disable the Ray dashboard, and make eager mode configurable for cluster benchmarks.
2026-02-02 15:40:16 +00:00
vllm_cluster_bench.py
feat: Configure ROCm attention via --attention-backend CLI argument, disable the Ray dashboard, and make eager mode configurable for cluster benchmarks.
2026-02-02 15:40:16 +00:00
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