Files
xc-llm-ascend/tests/e2e/nightly/single_node/models/configs/MiniMax-M2.5-A3.yaml
SparrowMu fb8e22ec00 [DOC] MiniMax-M2.5 model intro (#7296)
### 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>
2026-03-18 20:14:36 +08:00

47 lines
1.3 KiB
YAML

# ==========================================
# ACTUAL TEST CASES
# ==========================================
test_cases:
- name: "MiniMax-M2.5-TP16-Reasoning-Tool"
model: "MiniMax/MiniMax-M2.5"
envs:
HCCL_BUFFSIZE: "1024"
OMP_PROC_BIND: "false"
HCCL_OP_EXPANSION_MODE: "AIV"
PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
VLLM_ASCEND_ENABLE_FLASHCOMM1: "1"
SERVER_PORT: "DEFAULT_PORT"
prompts:
- "Hello. Please introduce yourself briefly."
api_keyword_args:
max_tokens: 128
temperature: 0
test_content:
- chat_completion
server_cmd:
- "--tensor-parallel-size"
- "16"
- "--port"
- "$SERVER_PORT"
- "--trust-remote-code"
- "--dtype"
- "bfloat16"
- "--enable-expert-parallel"
- "--max-num-seqs"
- "32"
- "--max-num-batched-tokens"
- "32768"
# Prefer a smaller max length for nightly stability. For full context,
# omit this flag and rely on the model config (196608).
- "--max-model-len"
- "32768"
- "--compilation-config"
- '{"cudagraph_mode":"FULL_DECODE_ONLY"}'
- "--enable-auto-tool-choice"
- "--tool-call-parser"
- "minimax_m2"
- "--reasoning-parser"
- "minimax_m2_append_think"