### What this PR does / why we need it?
1. Add nightly test on MiniMax-M2.5 with deployment method on A3
2. Add MiniMax-M2.5 deployment introduction to vllm-ascend docs
- vLLM version: v0.17.0
- vLLM main:
4034c3d32e
---------
Signed-off-by: limuyuan <limuyuan3@huawei.com>
Signed-off-by: SparrowMu <52023119+SparrowMu@users.noreply.github.com>
Co-authored-by: limuyuan <limuyuan3@huawei.com>
47 lines
1.3 KiB
YAML
47 lines
1.3 KiB
YAML
# ==========================================
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# ACTUAL TEST CASES
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# ==========================================
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test_cases:
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- name: "MiniMax-M2.5-TP16-Reasoning-Tool"
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model: "MiniMax/MiniMax-M2.5"
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envs:
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HCCL_BUFFSIZE: "1024"
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OMP_PROC_BIND: "false"
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HCCL_OP_EXPANSION_MODE: "AIV"
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PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
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VLLM_ASCEND_ENABLE_FLASHCOMM1: "1"
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SERVER_PORT: "DEFAULT_PORT"
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prompts:
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- "Hello. Please introduce yourself briefly."
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api_keyword_args:
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max_tokens: 128
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temperature: 0
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test_content:
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- chat_completion
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server_cmd:
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- "--tensor-parallel-size"
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- "16"
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- "--port"
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- "$SERVER_PORT"
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- "--trust-remote-code"
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- "--dtype"
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- "bfloat16"
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- "--enable-expert-parallel"
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- "--max-num-seqs"
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- "32"
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- "--max-num-batched-tokens"
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- "32768"
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# Prefer a smaller max length for nightly stability. For full context,
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# omit this flag and rely on the model config (196608).
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- "--max-model-len"
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- "32768"
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- "--compilation-config"
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- '{"cudagraph_mode":"FULL_DECODE_ONLY"}'
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- "--enable-auto-tool-choice"
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- "--tool-call-parser"
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- "minimax_m2"
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- "--reasoning-parser"
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- "minimax_m2_append_think"
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