Text Generation
Safetensors
Chinese
English
minicpm3
conversational
custom_code
4-bit precision
gptq
Instructions to use openbmb/MiniCPM3-4B-GPTQ-Int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- vLLM
How to use openbmb/MiniCPM3-4B-GPTQ-Int4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "openbmb/MiniCPM3-4B-GPTQ-Int4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "openbmb/MiniCPM3-4B-GPTQ-Int4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/openbmb/MiniCPM3-4B-GPTQ-Int4
- SGLang
How to use openbmb/MiniCPM3-4B-GPTQ-Int4 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 "openbmb/MiniCPM3-4B-GPTQ-Int4" \ --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": "openbmb/MiniCPM3-4B-GPTQ-Int4", "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 "openbmb/MiniCPM3-4B-GPTQ-Int4" \ --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": "openbmb/MiniCPM3-4B-GPTQ-Int4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use openbmb/MiniCPM3-4B-GPTQ-Int4 with Docker Model Runner:
docker model run hf.co/openbmb/MiniCPM3-4B-GPTQ-Int4
| { | |
| "bits": 4, | |
| "group_size": 128, | |
| "damp_percent": 0.01, | |
| "desc_act": true, | |
| "static_groups": false, | |
| "sym": true, | |
| "true_sequential": true, | |
| "lm_head": false, | |
| "model_name_or_path": null, | |
| "model_file_base_name": null, | |
| "quant_method": "gptq", | |
| "checkpoint_format": "gptq" | |
| } |