Text Generation
Safetensors
English
minimax
gptqmodel
modelcloud
chat
glm4.6
glm
instruct
int4
gptq
4bit
w4a16
conversational
custom_code
4-bit precision
Instructions to use ModelCloud/MiniMax-M2-GPTQMODEL-W4A16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- vLLM
How to use ModelCloud/MiniMax-M2-GPTQMODEL-W4A16 with 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
- SGLang
How to use ModelCloud/MiniMax-M2-GPTQMODEL-W4A16 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 "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?" } ] }'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 "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 Model Runner
How to use ModelCloud/MiniMax-M2-GPTQMODEL-W4A16 with Docker Model Runner:
docker model run hf.co/ModelCloud/MiniMax-M2-GPTQMODEL-W4A16
|
Download README.md from ModelCloud/MiniMax-M2-GPTQMODEL-W4A16: direct link, hf CLI and curl.
- Browser
- Download file 687 Bytes
-
https://huggingface.co/ModelCloud/MiniMax-M2-GPTQMODEL-W4A16/resolve/main/README.md
- Command line
-
hf download hf://ModelCloud/MiniMax-M2-GPTQMODEL-W4A16/README.md
-
curl -L -o README.md https://huggingface.co/ModelCloud/MiniMax-M2-GPTQMODEL-W4A16/resolve/main/README.md
687 Bytes
metadata
license: other
license_name: modelcloud
license_link: LICENSE
language:
- en
base_model:
- MiniMaxAI/MiniMax-M2
pipeline_tag: text-generation
tags:
- gptqmodel
- modelcloud
- chat
- glm4.6
- glm
- instruct
- int4
- gptq
- 4bit
- 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`