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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 04:45 UTC

Update test case parameter to have the throughput above 8.0 (#19994)

Signed-off-by: Qiliang Cui <derrhein@gmail.com>

QiliangCui committed Jun 23, 2025 at 17:18 UTC a738dbb2a1238a5e4aafb92c629af3bce4213024
1 file changed +2 -2
.buildkite/scripts/tpu/config_v6e_1.env
+2 -2
@@ -4,8 +4,8 @@ CONTAINER_NAME=vllm-tpu
4
5 # vllm config
6 MODEL=meta-llama/Llama-3.1-8B-Instruct
7 -MAX_NUM_SEQS=512
8 -MAX_NUM_BATCHED_TOKENS=512
7 +MAX_NUM_SEQS=256
8 +MAX_NUM_BATCHED_TOKENS=1024
9 TENSOR_PARALLEL_SIZE=1
10 MAX_MODEL_LEN=2048
11 DOWNLOAD_DIR=/mnt/disks/persist