Instructions to use MiniMaxAI/MiniMax-M2.7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MiniMaxAI/MiniMax-M2.7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MiniMaxAI/MiniMax-M2.7")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MiniMaxAI/MiniMax-M2.7", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use MiniMaxAI/MiniMax-M2.7 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MiniMaxAI/MiniMax-M2.7" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MiniMaxAI/MiniMax-M2.7", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MiniMaxAI/MiniMax-M2.7
- SGLang
How to use MiniMaxAI/MiniMax-M2.7 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 "MiniMaxAI/MiniMax-M2.7" \ --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": "MiniMaxAI/MiniMax-M2.7", "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 "MiniMaxAI/MiniMax-M2.7" \ --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": "MiniMaxAI/MiniMax-M2.7", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MiniMaxAI/MiniMax-M2.7 with Docker Model Runner:
docker model run hf.co/MiniMaxAI/MiniMax-M2.7
Add WildClawBench evaluation result
#31 opened 5 days ago
by
yuhangzang
Not support transformers v5
#29 opened 19 days ago
by
JunyanYang
发布模型的工作能不能严谨点!!!
#28 opened 21 days ago
by
ChengFeng0113
Add Claw-Eval evaluation results
#27 opened 22 days ago
by
SaylorTwift
Refund
1
#26 opened 23 days ago
by
Shahzaib9211
Prevent whitespace leakage in beginning of prompt
👍 1
1
#22 opened about 1 month ago
by
spicyneuron
Running MiniMax M2.7 based on VLLM, the longer it runs, the dumber the model feels.
👍 6
9
#20 opened about 1 month ago
by
wolfzr
MiniMax-M2.7 is highly verbose and slow
2
#18 opened about 1 month ago
by
weisunding
This LLM is a test maxer, not a general purpose AI model.
👍 2
21
#17 opened about 1 month ago
by
phil111
1/14 非常糟糕的测试结果。
3
#16 opened about 1 month ago
by
cloudyu
GLM-5.1 open ! >>> MiniMax-M2.7 open ! >>> Qwen 3.6 closed !
🚀 2
5
#14 opened about 1 month ago
by
Ai-Robots
Add community evaluation results for SWE-BENCH_PRO, TERMINAL-BENCH-2.0
#13 opened about 1 month ago
by
nielsr
"Open source" my ass -- they are liars
❤️👍 36
55
#12 opened about 1 month ago
by
JLouisBiz
Need a 5% and 15% REAP
7
#10 opened about 2 months ago
by
nawoalanor
GGUF quants available — all sizes Q2_K through Q8_0 + BF16
🚀❤️ 1
2
#8 opened about 2 months ago
by
dennny123
Are some files missing??
5
#7 opened about 2 months ago
by
julianchong
No commercial use allowed in License?
😔👀 4
10
#6 opened about 2 months ago
by
zenmagnets
license
👀👍 9
16
#5 opened about 2 months ago
by
festr2
(Un)officially support 1x96GB?
1
#4 opened about 2 months ago
by deleted
Minimax 2.7 !!!!
👍 5
3
#3 opened about 2 months ago
by
mtcl
Thankyou for making this open source!!
❤️🔥 22
10
#2 opened about 2 months ago
by
AaryanK
niceee
🤗🚀 6
#1 opened about 2 months ago
by
ox-ox