Instructions to use z-lab/MiniMax-M2.5-DFlash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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")

# pip install -U transformers accelerate
# 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", device_map="auto")

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
```

Access Request with Great Appreciation for MiniMax-M2.5-DFlash and MiniMax-M2.7-DFlash

by ComputerPlayer - opened May 18

Discussion

ComputerPlayer

May 18

Hi DFlash team,
I’ve submitted an access request for MiniMax-M2.5-DFlash and MiniMax-M2.7-DFlash. I truly admire your work and am very curious about the method.
I would like to experiment with the model on my own hardware for personal learning about speculative decoding. I have agreed to the usage terms.
I’d be grateful if you could review and approve my request when time allows. Thank you for sharing this work with the community.

Adithyajob

May 21

•

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