Instructions to use 01-ai/Yi-34B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 01-ai/Yi-34B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="01-ai/Yi-34B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("01-ai/Yi-34B") model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-34B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use 01-ai/Yi-34B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "01-ai/Yi-34B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "01-ai/Yi-34B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/01-ai/Yi-34B
- SGLang
How to use 01-ai/Yi-34B 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 "01-ai/Yi-34B" \ --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": "01-ai/Yi-34B", "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 "01-ai/Yi-34B" \ --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": "01-ai/Yi-34B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use 01-ai/Yi-34B with Docker Model Runner:
docker model run hf.co/01-ai/Yi-34B
run examples for yi-34B-chat, get different results with examples
input: hi
response: ## Hello! How can I assist you today? If you have any questions or need information on a specific topic, feel free to ask. ##
which is different with## Hello! How can I assist you today? ## in example
Is this as expected?
@cizhenshi it won’t perform super well for a chat model as it’s only a base model. If you want to chat with it, use the yi chat or nous capybara yi34b or dolphin yi 34b
Hi, @cizhenshi
- Check the model name, should be chat model which download from: https://huggingface.co/01-ai/Yi-34B-Chat
- Use the chat template(ChatML) may help, you can found example scripts here: https://github.com/01-ai/Yi#31-use-the-chat-model
Hi, @cizhenshi
- Check the model name, should be chat model which download from: https://huggingface.co/01-ai/Yi-34B-Chat
- Use the chat template(ChatML) may help, you can found example scripts here: https://github.com/01-ai/Yi#31-use-the-chat-model
I use the same code with 2. , but got different result "Hello! How can I assist you today? If you have any questions or need information on a specific topic, feel free to ask."
Hi, @cizhenshi
- Check the model name, should be chat model which download from: https://huggingface.co/01-ai/Yi-34B-Chat
- Use the chat template(ChatML) may help, you can found example scripts here: https://github.com/01-ai/Yi#31-use-the-chat-model
I use the same code with 2. , but got different result "Hello! How can I assist you today? If you have any questions or need information on a specific topic, feel free to ask."
This is as expected; the model's responses have a certain degree of uncertainty.