MiniMax-M2：コーディングとエージェントワークフローのための高度なAI

# Install Docker
curl -fsSL https://get.docker.com | sh

# Install NVIDIA Container Toolkit
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list

sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit
sudo systemctl restart docker

docker run --gpus all \
  -p 30000:30000 \
  -v ~/.cache/huggingface:/root/.cache/huggingface \
  --env "HF_TOKEN=<secret>" \
  lmsysorg/sglang:latest \
  python3 -m sglang.launch_server \
  --model-path MiniMaxAI/MiniMax-M2 \
  --host 0.0.0.0 \
  --port 30000

curl http://localhost:30000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MiniMaxAI/MiniMax-M2",
    "messages": [
      {"role": "user", "content": "Write a quick sort function in Python"}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:30000/v1",
    api_key="EMPTY"
)

response = client.chat.completions.create(
    model="MiniMaxAI/MiniMax-M2",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)