Instructions to use BAAI/AquilaChat2-70B-Expr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/AquilaChat2-70B-Expr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BAAI/AquilaChat2-70B-Expr")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("BAAI/AquilaChat2-70B-Expr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use BAAI/AquilaChat2-70B-Expr with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BAAI/AquilaChat2-70B-Expr" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BAAI/AquilaChat2-70B-Expr", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/BAAI/AquilaChat2-70B-Expr
- SGLang
How to use BAAI/AquilaChat2-70B-Expr 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/AquilaChat2-70B-Expr" \ --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/AquilaChat2-70B-Expr", "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/AquilaChat2-70B-Expr" \ --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/AquilaChat2-70B-Expr", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use BAAI/AquilaChat2-70B-Expr with Docker Model Runner:
docker model run hf.co/BAAI/AquilaChat2-70B-Expr
Update predict.py
Browse files- predict.py +1 -0
predict.py
CHANGED
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@@ -347,6 +347,7 @@ def predict(model, text, tokenizer=None,
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| 347 |
template_map = {"AquilaChat2-7B": "aquila-v1",
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"AquilaChat2-34B": "aquila-legacy",
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"AquilaChat2-7B-16K": "aquila",
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"AquilaChat2-34B-16K": "aquila"}
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if not convo_template:
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convo_template=template_map.get(model_name, "aquila-chat")
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template_map = {"AquilaChat2-7B": "aquila-v1",
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"AquilaChat2-34B": "aquila-legacy",
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"AquilaChat2-7B-16K": "aquila",
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+
"AquilaChat2-70B-Expr": "aquila-v2",
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"AquilaChat2-34B-16K": "aquila"}
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if not convo_template:
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convo_template=template_map.get(model_name, "aquila-chat")
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