Instructions to use Reza2kn/MiniCPM5-1B-AWQ-INT4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- vLLM
How to use Reza2kn/MiniCPM5-1B-AWQ-INT4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Reza2kn/MiniCPM5-1B-AWQ-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": "Reza2kn/MiniCPM5-1B-AWQ-INT4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Reza2kn/MiniCPM5-1B-AWQ-INT4
- SGLang
How to use Reza2kn/MiniCPM5-1B-AWQ-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 "Reza2kn/MiniCPM5-1B-AWQ-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": "Reza2kn/MiniCPM5-1B-AWQ-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 "Reza2kn/MiniCPM5-1B-AWQ-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": "Reza2kn/MiniCPM5-1B-AWQ-INT4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Reza2kn/MiniCPM5-1B-AWQ-INT4 with Docker Model Runner:
docker model run hf.co/Reza2kn/MiniCPM5-1B-AWQ-INT4
| license: apache-2.0 | |
| base_model: openbmb/MiniCPM5-1B | |
| tags: | |
| - awq | |
| - int4 | |
| - minicpm5 | |
| - text-generation | |
| # MiniCPM5-1B AWQ INT4 | |
| 4-bit AWQ quantization of `openbmb/MiniCPM5-1B`. | |
| - Weight bits: 4 | |
| - Group size: 128 | |
| - Zero point: true | |
| - Version: GEMM | |