Files
xc-llm-ascend/tests/e2e/nightly/multi_node/config/models/GLM-4_5.yaml
Li Wang 3ca11d5a7c [CI] Fix nightly-ci (#4159)
### What this PR does / why we need it?
Explicit specification `NUMEXPR_MAX_THREADS` to avoid `Error. nthreads
cannot be larger than environment variable "NUMEXPR_MAX_THREADS" (64)`

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-11-12 22:06:49 +08:00

51 lines
1.3 KiB
YAML

test_name: "test GLM-4.5 multi-dp"
model: "ZhipuAI/GLM-4.5"
num_nodes: 2
npu_per_node: 16
env_common:
VLLM_USE_MODELSCOPE: true
OMP_PROC_BIND: false
OMP_NUM_THREADS: 100
HCCL_BUFFSIZE: 1024
SERVER_PORT: 8080
NUMEXPR_MAX_THREADS: 128
deployment:
-
server_cmd: >
vllm serve "ZhipuAI/GLM-4.5"
--host 0.0.0.0
--port $SERVER_PORT
--data-parallel-size 4
--data-parallel-size-local 2
--data-parallel-address $LOCAL_IP
--data-parallel-rpc-port 13389
--tensor-parallel-size 8
--seed 1024
--enable-expert-parallel
--max-num-seqs 16
--max-model-len 8192
--max-num-batched-tokens 8192
--trust-remote-code
--no-enable-prefix-caching
--gpu-memory-utilization 0.9
-
server_cmd: >
vllm serve "ZhipuAI/GLM-4.5"
--headless
--data-parallel-size 4
--data-parallel-size-local 2
--data-parallel-start-rank 2
--data-parallel-address $MASTER_IP
--data-parallel-rpc-port 13389
--tensor-parallel-size 8
--seed 1024
--max-num-seqs 16
--max-model-len 8192
--max-num-batched-tokens 8192
--enable-expert-parallel
--trust-remote-code
--no-enable-prefix-caching
--gpu-memory-utilization 0.9
benchmarks: