Instructions to use openbmb/cpm-bee-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/cpm-bee-1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="openbmb/cpm-bee-1b", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/cpm-bee-1b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use openbmb/cpm-bee-1b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "openbmb/cpm-bee-1b" # 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-1b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/openbmb/cpm-bee-1b
- SGLang
How to use openbmb/cpm-bee-1b 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-1b" \ --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-1b", "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-1b" \ --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-1b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use openbmb/cpm-bee-1b with Docker Model Runner:
docker model run hf.co/openbmb/cpm-bee-1b
Init cpm-bee-1b
Browse files- config.json +15 -0
- pytorch_model.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"vocab_size": 86583,
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"dim_model": 4096,
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"dim_ff" : 1024,
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"num_layers" : 48,
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"num_heads": 32,
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"dim_head" : 40,
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"dropout_p" : 0.0,
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"position_bias_num_buckets" : 256,
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"position_bias_num_segment_buckets": 256,
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"position_bias_max_distance" : 2048,
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"eps" : 1e-6,
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"half" : true,
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"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]]
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a4900eb67843181959ea77043a59a7d7e78fb688bd9ee61858658c10823c1b33
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size 2110668093
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vocab.txt
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