init v0.23.0

Signed-off-by: Sun Ruoxi <sunruoxi@4paradigm.com>
2026-08-27 15:11:51 +08:00
parent b582a8e7d1
commit 7f8a1b1f7a
2849 changed files with 712887 additions and 22001 deletions
--- a/tests/e2e/nightly/single_node/models/configs/Qwen3.5-397B-A17B-w8a8-mtp-longseq-A3.yaml
+++ b/tests/e2e/nightly/single_node/models/configs/Qwen3.5-397B-A17B-w8a8-mtp-longseq-A3.yaml
@@ -0,0 +1,62 @@
+# ==========================================
+# ACTUAL TEST CASES
+# ==========================================
+
+test_cases:
+  - name: "Qwen3.5-397B-A17B-w8a8-mtp-longseq"
+    model: "Eco-Tech/Qwen3.5-397B-A17B-w8a8-mtp"
+    envs:
+      VLLM_USE_MODELSCOPE: "true"
+      PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
+      HCCL_OP_EXPANSION_MODE: "AIV"
+      HCCL_BUFFSIZE: "1024"
+      OMP_NUM_THREADS: "1"
+      TASK_QUEUE_ENABLE: "1"
+      SERVER_PORT: "DEFAULT_PORT"
+      VLLM_ASCEND_ENABLE_FUSED_MC2: "1"
+      VLLM_ENGINE_READY_TIMEOUT_S: "3000"
+      VLLM_RPC_TIMEOUT: "6000"
+    server_cmd:
+      - "--tensor-parallel-size"
+      - "8"
+      - "--data-parallel-size"
+      - "1"
+      - "--prefill-context-parallel-size"
+      - "2"
+      - "--decode-context-parallel-size"
+      - "4"
+      - "--enable-expert-parallel"
+      - "--port"
+      - "$SERVER_PORT"
+      - "--max-num-seqs"
+      - "32"
+      - "--quantization"
+      - "ascend"
+      - "--max-model-len"
+      - "133120"
+      - "--max-num-batched-tokens"
+      - "16384"
+      - "--trust-remote-code"
+      - "--gpu-memory-utilization"
+      - "0.9"
+      - "--speculative_config"
+      - '{"method": "qwen3_5_mtp", "num_speculative_tokens": 3, "enforce_eager": true}'
+      - "--compilation-config"
+      - '{"cudagraph_capture_sizes":[1,4,8,16,32,64], "cudagraph_mode":"FULL_DECODE_ONLY"}'
+      - "--allowed-local-media-path"
+      - "/"
+      - "--mm-processor-cache-gb"
+      - "0"
+      - "--safetensors-load-strategy"
+      - "lazy"
+    benchmarks:
+      acc_GPQA:
+        case_type: accuracy
+        dataset_path: vllm-ascend/gpqa
+        request_conf: vllm_api_general_chat
+        dataset_conf: gpqa/gpqa_gen_0_shot_cot_chat_prompt
+        num_prompts: 50
+        max_out_len: 32768
+        batch_size: 32
+        baseline: 84
+        threshold: 8