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ModelCloud optimized and validated quants that pass/meet strict quality assurance on multiple benchmarks. No one quantize • 24 items • Updated • 10
How to use ModelCloud/MiniMax-M2-GPTQMODEL-W4A16 with vLLM:
# 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?"
}
]
}'docker model run hf.co/ModelCloud/MiniMax-M2-GPTQMODEL-W4A16
How to use ModelCloud/MiniMax-M2-GPTQMODEL-W4A16 with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "ModelCloud/MiniMax-M2-GPTQMODEL-W4A16" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/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?"
}
]
}'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 "ModelCloud/MiniMax-M2-GPTQMODEL-W4A16" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/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?"
}
]
}'How to use ModelCloud/MiniMax-M2-GPTQMODEL-W4A16 with Docker Model Runner:
docker model run hf.co/ModelCloud/MiniMax-M2-GPTQMODEL-W4A16
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`
Base model
MiniMaxAI/MiniMax-M2