Instructions to use 01-ai/Yi-34B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 01-ai/Yi-34B-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="01-ai/Yi-34B-Chat") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("01-ai/Yi-34B-Chat") model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-34B-Chat", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 01-ai/Yi-34B-Chat 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-Chat" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "01-ai/Yi-34B-Chat", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/01-ai/Yi-34B-Chat
- SGLang
How to use 01-ai/Yi-34B-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 "01-ai/Yi-34B-Chat" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "01-ai/Yi-34B-Chat", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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-Chat" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "01-ai/Yi-34B-Chat", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use 01-ai/Yi-34B-Chat with Docker Model Runner:
docker model run hf.co/01-ai/Yi-34B-Chat
Update README.md
#17
by xianbao - opened
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license_name: yi-license
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license_link: LICENSE
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widget:
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pipeline_tag: text-generation
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---
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<div align="center">
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<a href="#top">Back to top ⬆️ </a> ]
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license_name: yi-license
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license_link: LICENSE
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widget:
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- example_title: Yi-34B-Chat
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text: hi
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output:
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text: ' Hello! How can I assist you today?'
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- example_title: Yi-34B
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text: >-
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There's a place where time stands still. A place of breath taking wonder,
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but also
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output:
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text: >2-
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an eerie sense that something is just not right…
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Between the two worlds lies The Forgotten Kingdom - home to creatures long
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since thought extinct and ancient magic so strong it defies belief! Only
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here can you find what has been lost for centuries: An Elixir Of Life
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which will restore youth and vitality if only those who seek its power are
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brave enough to face up against all manner of dangers lurking in this
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mysterious land! But beware; some say there may even exist powerful
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entities beyond our comprehension whose intentions towards humanity remain
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unclear at best ---- they might want nothing more than destruction itself
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rather then anything else from their quest after immortality (and maybe
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someone should tell them about modern medicine)? In any event though – one
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thing remains true regardless : whether or not success comes easy depends
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entirely upon how much effort we put into conquering whatever challenges
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lie ahead along with having faith deep down inside ourselves too ;) So
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let’s get started now shall We?
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pipeline_tag: text-generation
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language:
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- en
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- zh
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---
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</p>
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