Instructions to use z-lab/MiniMax-M2.5-DFlash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use z-lab/MiniMax-M2.5-DFlash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="z-lab/MiniMax-M2.5-DFlash")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("z-lab/MiniMax-M2.5-DFlash") model = AutoModel.from_pretrained("z-lab/MiniMax-M2.5-DFlash") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use z-lab/MiniMax-M2.5-DFlash with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "z-lab/MiniMax-M2.5-DFlash" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "z-lab/MiniMax-M2.5-DFlash", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/z-lab/MiniMax-M2.5-DFlash
- SGLang
How to use z-lab/MiniMax-M2.5-DFlash with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "z-lab/MiniMax-M2.5-DFlash" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "z-lab/MiniMax-M2.5-DFlash", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "z-lab/MiniMax-M2.5-DFlash" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "z-lab/MiniMax-M2.5-DFlash", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use z-lab/MiniMax-M2.5-DFlash with Docker Model Runner:
docker model run hf.co/z-lab/MiniMax-M2.5-DFlash
Request for access to MiniMax-M2.5-DFlash
Hi Z Lab team,
I have submitted an access request for z-lab/MiniMax-M2.5-DFlash and would like to kindly ask whether you could approve it.
We are currently evaluating speculative decoding for MiniMax-M2.5 in SGLang, especially for long-context agent workloads. We have tested EAGLE3-based draft models, but the acceptance length is relatively low in our real workload, so we would like to benchmark DFlash as a possible alternative.
Our intended use is internal benchmarking and engineering evaluation only:
- MiniMax-M2.5 target model serving with SGLang
- DFlash speculative decoding performance comparison
- Long-context agent scenarios with tool calls and structured outputs
- Metrics such as acceptance length, throughput, latency, and memory usage
We will follow the model terms and will not redistribute the weights or use them outside the approved scope.
Thank you for releasing this work and for supporting the community.