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AI/amd-strix-halo-vllm-toolboxes
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0d8afba0935edd7ea5c6971294fa4ed0a6ec573d
amd-strix-halo-vllm-toolboxes/benchmarks
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Історія
Donato Capitella 965cd2c339 feat: Improve Ray node detection, enable cluster-wide vLLM cache clearing, and enforce eager mode for benchmarks.
2026-02-01 21:35:27 +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
updates
2025-12-20 11:37:06 +00:00
max_context_results.json
feat: Enhance vLLM benchmarking to compare Triton and ROCm attention, introduce a new script for cluster configuration, and update Dockerfile for new tools and dependencies.
2026-02-01 19:36:07 +00:00
run_vllm_bench.py
feat: centralize model configurations and benchmark settings into a new models.py module and update Dockerfile and scripts to use it.
2026-02-01 21:17:15 +00:00
vllm_cluster_bench.py
feat: Improve Ray node detection, enable cluster-wide vLLM cache clearing, and enforce eager mode for benchmarks.
2026-02-01 21:35:27 +00:00
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