MiniMax M1
For detailed vLLM deployment instructions, please refer to our vLLM Deployment Guide. Special Note: Using vLLM versions below 0.9.2 may result in incompatibility or incorrect precision for the model. Alternatively, you can also deploy using Transformers directly. For detailed Transformers deployment instructions, you can see our MiniMax-M1 Transformers Deployment Guide.
- Tool Use
main.py
from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="novita/minimaxai/minimax-m1-80k", messages=[{"role": "user", "content": "Hello!"}], extra_body={ "fallback_models": ["minimaxai/minimax-m1-80k"], },)print(response.choices[0].message.content)from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="novita/minimaxai/minimax-m1-80k", messages=[{"role": "user", "content": "Hello!"}], extra_body={ "fallback_models": ["minimaxai/minimax-m1-80k"], },)print(response.choices[0].message.content)Providers
Gateway routes for this model on the Respan gateway, including fallback routes when configured.
Similar
Other models from the same provider available through the gateway.
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