Instructions to use BAAI/AquilaCode-py with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/AquilaCode-py with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BAAI/AquilaCode-py")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("BAAI/AquilaCode-py", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use BAAI/AquilaCode-py with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BAAI/AquilaCode-py" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BAAI/AquilaCode-py", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/BAAI/AquilaCode-py
- SGLang
How to use BAAI/AquilaCode-py 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 "BAAI/AquilaCode-py" \ --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": "BAAI/AquilaCode-py", "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 "BAAI/AquilaCode-py" \ --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": "BAAI/AquilaCode-py", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use BAAI/AquilaCode-py with Docker Model Runner:
docker model run hf.co/BAAI/AquilaCode-py
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悟道·天鹰Aquila系列模型将持续开源更优版本。
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Aquila-7B v0.8 在 FlagEval 大模型评测中( “客观”)相比0.7的版本在MMLU_Chinese、TruthfulQA、MMLU上分别提升10.07%,14.84%和7.94%。详细评测结果请通过 http://flageval.baai.ac.cn 网站查看,
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历史版本变更详情见:[变更日志](https://huggingface.co/BAAI/AquilaChat-7B/blob/main/change_log.log) 。
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悟道·天鹰Aquila系列模型将持续开源更优版本。
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- 2023/07/24 :开源 v0.9
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- AquilaCode-mutil-01 md5: e202e5b82db773ea369fe843fef1c34c
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- AquilaCode-mutil-02 md5: 3923b2b020e2af71755b11248076437f
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- AquilaCode-Python-01 md5: e202e5b82db773ea369fe843fef1c34c
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- AquilaCode-Python-02 md5: 3923b2b020e2af71755b11248076437f
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Aquila-7B v0.8 在 FlagEval 大模型评测中( “客观”)相比0.7的版本在MMLU_Chinese、TruthfulQA、MMLU上分别提升10.07%,14.84%和7.94%。详细评测结果请通过 http://flageval.baai.ac.cn 网站查看,
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历史版本变更详情见:[变更日志](https://huggingface.co/BAAI/AquilaChat-7B/blob/main/change_log.log) 。
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