Text Generation
Transformers
Safetensors
qwen3
dflash
speculative-decoding
block-diffusion
draft-model
efficiency
minimax
minimax_m2
diffusion-language-model
text-generation-inference
Instructions to use z-lab/MiniMax-M2.7-DFlash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use z-lab/MiniMax-M2.7-DFlash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="z-lab/MiniMax-M2.7-DFlash")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("z-lab/MiniMax-M2.7-DFlash") model = AutoModel.from_pretrained("z-lab/MiniMax-M2.7-DFlash") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use z-lab/MiniMax-M2.7-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-M2.7-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-M2.7-DFlash", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/z-lab/MiniMax-M2.7-DFlash
- SGLang
How to use z-lab/MiniMax-M2.7-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-M2.7-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-M2.7-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-M2.7-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-M2.7-DFlash", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use z-lab/MiniMax-M2.7-DFlash with Docker Model Runner:
docker model run hf.co/z-lab/MiniMax-M2.7-DFlash
Please allow us in, great thanks
#13 opened 2 days ago
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B200
Nevermind
#12 opened 15 days ago
by
mayhem4markets
Request: DOI
#11 opened 16 days ago
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zhazhahui080507
please allow access to your repo. Thanks for~
#10 opened 16 days ago
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fourier12
please allow access to your repo. Thanks for your time~
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#9 opened 17 days ago
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JeffLLQ
please allow access ,thx...
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fengkuangxyz
please allow access
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celikburak
please allow access to your repo
#6 opened 21 days ago
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hfmefi69
MiniMax-M3 weights will be out before my nearly month-old approval request is confirmed
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#5 opened 22 days ago
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mayhem4markets
may we please have access?
#4 opened 25 days ago
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mayhem4markets
why not let us in?
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Narutoouz
Please kindly approve my request to access this model
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#2 opened about 1 month ago
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approvals
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#1 opened about 2 months ago
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