How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ModelCloud/MiniMax-M2-GPTQMODEL-W4A16"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ModelCloud/MiniMax-M2-GPTQMODEL-W4A16",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'
Use Docker
docker model run hf.co/ModelCloud/MiniMax-M2-GPTQMODEL-W4A16
Quick Links

This 4bit W4A16 model has been quantized by @Qubitum at ModelCloud using GPT-QModel.

SPDX-License-Identifier: NonCommercial-ModelCloud
Copyright (c) 2024–2025 ModelCloud.ai
Released for non-profit use only.
Commercial use requires permission from [@qubitium](https://x.com/qubitium).
[ Passed Validation ] ARC_CHALLENGE: `0.697098976109215`
Downloads last month
21
Safetensors
Model size
229B params
Tensor type
BF16
·
F32
·
I32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for ModelCloud/MiniMax-M2-GPTQMODEL-W4A16

Quantized
(44)
this model

Collection including ModelCloud/MiniMax-M2-GPTQMODEL-W4A16