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
Commit ·
9399a8e
1
Parent(s): 11352f4
Update config.json
Browse files- config.json +1 -1
config.json
CHANGED
|
@@ -9,7 +9,7 @@
|
|
| 9 |
"initializer_range": 0.02,
|
| 10 |
"intermediate_size": 11008,
|
| 11 |
"max_position_embeddings": 2048,
|
| 12 |
-
"model_type": "
|
| 13 |
"num_attention_heads": 32,
|
| 14 |
"num_hidden_layers": 32,
|
| 15 |
"pad_token_id": 0,
|
|
|
|
| 9 |
"initializer_range": 0.02,
|
| 10 |
"intermediate_size": 11008,
|
| 11 |
"max_position_embeddings": 2048,
|
| 12 |
+
"model_type": "aquila",
|
| 13 |
"num_attention_heads": 32,
|
| 14 |
"num_hidden_layers": 32,
|
| 15 |
"pad_token_id": 0,
|