Instructions to use baichuan-inc/Baichuan2-13B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baichuan-inc/Baichuan2-13B-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="baichuan-inc/Baichuan2-13B-Chat", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("baichuan-inc/Baichuan2-13B-Chat", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use baichuan-inc/Baichuan2-13B-Chat with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "baichuan-inc/Baichuan2-13B-Chat" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "baichuan-inc/Baichuan2-13B-Chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/baichuan-inc/Baichuan2-13B-Chat
- SGLang
How to use baichuan-inc/Baichuan2-13B-Chat 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 "baichuan-inc/Baichuan2-13B-Chat" \ --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": "baichuan-inc/Baichuan2-13B-Chat", "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 "baichuan-inc/Baichuan2-13B-Chat" \ --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": "baichuan-inc/Baichuan2-13B-Chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use baichuan-inc/Baichuan2-13B-Chat with Docker Model Runner:
docker model run hf.co/baichuan-inc/Baichuan2-13B-Chat
AttributeError: 'list' object has no attribute 'as_dict'
When loading model, it reports below Error:
File "/Baichuan2/test_model.py", line 5, in
model = AutoModelForCausalLM.from_pretrained("baichuan-inc/Baichuan2-13B-Chat-4bits", device_map="auto", torch_dtype=torch.bfloat16, trust_remote_code=True)
File "/opt/conda/envs/baichuan2/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 558, in from_pretrained
return model_class.from_pretrained(
File "/root/.cache/huggingface/modules/transformers_modules/Baichuan2-13B-Chat-4bits/modeling_baichuan.py", line 664, in from_pretrained
dispatch_model(model, device_map=device_map)
File "/opt/conda/envs/baichuan2/lib/python3.10/site-packages/accelerate/big_modeling.py", line 343, in dispatch_model
check_device_map(model, device_map)
File "/opt/conda/envs/baichuan2/lib/python3.10/site-packages/accelerate/utils/modeling.py", line 1129, in check_device_map
all_model_tensors = [name for name, _ in model.state_dict().items()]
File "/opt/conda/envs/baichuan2/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1897, in state_dict
module.state_dict(destination=destination, prefix=prefix + name + '.', keep_vars=keep_vars)
File "/opt/conda/envs/baichuan2/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1897, in state_dict
module.state_dict(destination=destination, prefix=prefix + name + '.', keep_vars=keep_vars)
File "/opt/conda/envs/baichuan2/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1897, in state_dict
module.state_dict(destination=destination, prefix=prefix + name + '.', keep_vars=keep_vars)
[Previous line repeated 2 more times]
File "/opt/conda/envs/baichuan2/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1894, in state_dict
self._save_to_state_dict(destination, prefix, keep_vars)
File "/opt/conda/envs/baichuan2/lib/python3.10/site-packages/bitsandbytes/nn/modules.py", line 237, in _save_to_state_dict
for k, v in self.weight.quant_state.as_dict(packed=True).items():
AttributeError: 'list' object has no attribute 'as_dict'
我是bitsandbytes版本问题导致的
pip install bitsandbytes==0.41.1
即可