# Recipe: MiniMax-M2.5
# MiniMaxAI/MiniMax-M2.5

recipe_version: "1"
name: MiniMax-M2.5
description: vLLM serving MiniMax-M2.5 with Ray distributed backend

# HuggingFace model to download (optional, for --download-model)
model: MiniMaxAI/MiniMax-M2.5

# Container image to use
container: vllm-node

# Can only be run in a cluster
cluster_only: true

# No mods required
mods: []

# Default settings (can be overridden via CLI)
defaults:
  port: 8000
  host: 0.0.0.0
  tensor_parallel: 4
  gpu_memory_utilization: 0.90
  max_model_len: 128000

# Environment variables
env:
  VLLM_DISTRIBUTED_EXECUTOR_CONFIG: '{"placement_group_options":{"strategy":"SPREAD"}}'

# The vLLM serve command template
command: |
  vllm serve MiniMaxAI/MiniMax-M2.5 \
      --trust-remote-code \
      --port {port} \
      --host {host} \
      --gpu-memory-utilization {gpu_memory_utilization} \
      -tp {tensor_parallel} \
      --distributed-executor-backend ray \
      --max-model-len {max_model_len} \
      --load-format fastsafetensors \
      --enable-auto-tool-choice \
      --tool-call-parser minimax_m2 \
      --reasoning-parser minimax_m2_append_think