Instructions to use openbmb/cpm-bee-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/cpm-bee-2b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="openbmb/cpm-bee-2b", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/cpm-bee-2b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use openbmb/cpm-bee-2b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "openbmb/cpm-bee-2b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "openbmb/cpm-bee-2b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/openbmb/cpm-bee-2b
- SGLang
How to use openbmb/cpm-bee-2b 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/cpm-bee-2b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "openbmb/cpm-bee-2b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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/cpm-bee-2b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "openbmb/cpm-bee-2b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use openbmb/cpm-bee-2b with Docker Model Runner:
docker model run hf.co/openbmb/cpm-bee-2b
| { | |
| "_from_model_config": true, | |
| "_name_or_path": "openbmb/cpm-bee-2b", | |
| "architectures": [ | |
| "CpmBeeForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_cpmbee.CpmBeeConfig", | |
| "AutoModel": "modeling_cpmbee.CpmBeeForCausalLM", | |
| "AutoModelForCausalLM": "modeling_cpmbee.CpmBeeForCausalLM" | |
| }, | |
| "vocab_size": 86583, | |
| "hidden_size": 4096, | |
| "dim_ff" : 5120, | |
| "num_hidden_layers" : 48, | |
| "num_attention_heads": 32, | |
| "dim_head" : 64, | |
| "dropout_p" : 0.0, | |
| "position_bias_num_buckets" : 256, | |
| "position_bias_num_segment_buckets": 256, | |
| "position_bias_max_distance" : 2048, | |
| "eps" : 1e-6, | |
| "half" : true, | |
| "model_type": "cpmbee", | |
| "mask_modules": [[false, false], [true, false], [false, false], [true, false], [true, true], [true, false], [true, true], [true, true], [false, false], [false, false], [true, true], [true, false], [true, false], [true, true], [false, false], [true, true], [false, false], [false, true], [true, false], [true, true], [false, false], [false, true], [true, true], [true, true], [false, false], [true, true], [false, false], [true, true], [true, true], [false, false], [true, true], [false, false], [true, true], [false, false], [true, true], [true, false], [true, true], [true, true], [true, true], [false, false], [true, true], [false, false], [true, true], [true, true], [false, false], [true, true], [false, false], [false, false]] | |
| } | |