b60b991005
### What this PR does / why we need it?
Add nightly test for Qwen3-235B-A22B with mooncake layerwise connector.
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: release/v0.13.0
- vLLM main:
81786c8774
---------
Signed-off-by: wjunLu <wjunlu217@gmail.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
116 lines
3.5 KiB
YAML
116 lines
3.5 KiB
YAML
test_name: "test Qwen3-235B-A22B PD separation with mooncake layerwise connector"
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model: "Qwen/Qwen3-235B-A22B"
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num_nodes: 2
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npu_per_node: 16
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env_common:
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VLLM_USE_MODELSCOPE: true
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OMP_PROC_BIND: false
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OMP_NUM_THREADS: 100
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HCCL_BUFFSIZE: 1024
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SERVER_PORT: 8080
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NUMEXPR_MAX_THREADS: 128
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MC_LOG_LEVEL: "ERROR"
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DISAGGREGATED_PREFILL_PROXY_SCRIPT: "examples/disaggregated_prefill_v1/load_balance_proxy_layerwise_server_example.py"
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disaggregated_prefill:
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enabled: true
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prefiller_host_index: [0]
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decoder_host_index: [1]
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deployment:
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-
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server_cmd: >
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vllm serve "Qwen/Qwen3-235B-A22B"
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--host 0.0.0.0
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--port $SERVER_PORT
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--data-parallel-size 2
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--data-parallel-size-local 2
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--data-parallel-address $LOCAL_IP
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--data-parallel-rpc-port 13389
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--tensor-parallel-size 8
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--seed 1024
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--enforce-eager
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--enable-expert-parallel
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--max-num-seqs 32
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--max-model-len 8192
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--max-num-batched-tokens 8192
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--trust-remote-code
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--no-enable-prefix-caching
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--gpu-memory-utilization 0.9
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--additional-config '{"recompute_scheduler_enable": true,"enable_shared_expert_dp": true}'
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--kv-transfer-config
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'{"kv_connector": "MooncakeLayerwiseConnector",
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"kv_role": "kv_producer",
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"kv_port": "30000",
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"engine_id": "0",
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"kv_connector_module_path": "vllm_ascend.distributed.mooncake_layerwise_connector",
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"kv_connector_extra_config": {
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"prefill": {
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"dp_size": 2,
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"tp_size": 8
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},
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"decode": {
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"dp_size": 2,
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"tp_size": 8
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}
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}
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}'
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-
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server_cmd: >
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vllm serve "Qwen/Qwen3-235B-A22B"
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--host 0.0.0.0
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--port $SERVER_PORT
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--data-parallel-size 2
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--data-parallel-size-local 2
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--data-parallel-address $MASTER_IP
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--data-parallel-rpc-port 13389
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--tensor-parallel-size 8
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--seed 1024
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--max-num-seqs 16
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--max-model-len 8192
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--max-num-batched-tokens 8192
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--enable-expert-parallel
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--trust-remote-code
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--no-enable-prefix-caching
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--gpu-memory-utilization 0.9
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--additional-config '{"torchair_graph_config":{"enabled":true}}'
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--kv-transfer-config
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'{"kv_connector": "MooncakeLayerwiseConnector",
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"kv_role": "kv_consumer",
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"kv_port": "30200",
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"engine_id": "1",
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"kv_connector_module_path": "vllm_ascend.distributed.mooncake_layerwise_connector",
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"kv_connector_extra_config": {
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"prefill": {
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"dp_size": 2,
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"tp_size": 8
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},
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"decode": {
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"dp_size": 2,
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"tp_size": 8
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}
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}
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}'
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benchmarks:
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perf:
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case_type: performance
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dataset_path: vllm-ascend/GSM8K-in3500-bs2800
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request_conf: vllm_api_stream_chat
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dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_str_perf
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num_prompts: 2800
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max_out_len: 1500
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batch_size: 700
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request_rate: 11.2
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baseline: 183
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threshold: 0.97
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acc:
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case_type: accuracy
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dataset_path: vllm-ascend/gsm8k-lite
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request_conf: vllm_api_general_chat
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dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_chat_prompt
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max_out_len: 7680
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batch_size: 512
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baseline: 97
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threshold: 3
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