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
- 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
| # SPDX-FileCopyrightText: 2024-2025 ModelCloud.ai | |
| # SPDX-FileCopyrightText: 2024-2025 [email protected] | |
| # SPDX-License-Identifier: Apache-2.0 | |
| # Contact: [email protected], x.com/qubitium | |
| # | |
| # """MiniMax M2 Hugging Face remote code support.""" | |
| from .configuration_minimax_m2 import MiniMaxM2Config | |
| from .modeling_minimax_m2 import ( | |
| MiniMaxForCausalLM, | |
| MiniMaxM2ForCausalLM, | |
| MiniMaxM2Model, | |
| MiniMaxM2PreTrainedModel, | |
| MiniMaxModel, | |
| MiniMaxPreTrainedModel, | |
| ) | |
| __all__ = [ | |
| "MiniMaxM2Config", | |
| "MiniMaxM2PreTrainedModel", | |
| "MiniMaxM2Model", | |
| "MiniMaxM2ForCausalLM", | |
| "MiniMaxPreTrainedModel", | |
| "MiniMaxModel", | |
| "MiniMaxForCausalLM", | |
| ] | |