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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- 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
01-ai-bot commited on
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README.md
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@@ -5,7 +5,7 @@ license_link: LICENSE
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widget:
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- text: "There's a place where time stands still. A place of breath taking wonder, but also"
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output:
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text: "
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pipeline_tag: text-generation
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---
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<div align="center">
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with 4K sequence length and can be extended to 32K during inference time.
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The [`Yi-6B-200K`](https://huggingface.co/01-ai/Yi-6B-200K)
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and [`Yi-34B-200K`](https://huggingface.co/01-ai/Yi-34B-200K) are base model with
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200K context length.
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## News
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The Yi series models are fully open for academic research and free commercial
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usage with permission via applications. All usage must adhere to the [Model
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License Agreement 2.0](https://huggingface.co/01-ai/Yi-
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apply for the official commercial license, please contact us
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([yi@01.ai](mailto:yi@01.ai)).
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widget:
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- text: "There's a place where time stands still. A place of breath taking wonder, but also"
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output:
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text: " an eerie sense that something is just not right…\nBetween the two worlds lies The Forgotten Kingdom - home to creatures long since thought extinct and ancient magic so strong it defies belief! Only here can you find what has been lost for centuries: An Elixir Of Life which will restore youth and vitality if only those who seek its power are brave enough to face up against all manner of dangers lurking in this mysterious land! But beware; some say there may even exist powerful entities beyond our comprehension whose intentions towards humanity remain unclear at best ---- they might want nothing more than destruction itself rather then anything else from their quest after immortality (and maybe someone should tell them about modern medicine)? In any event though – one thing remains true regardless : whether or not success comes easy depends entirely upon how much effort we put into conquering whatever challenges lie ahead along with having faith deep down inside ourselves too ;) So let’s get started now shall We?"
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pipeline_tag: text-generation
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---
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<div align="center">
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with 4K sequence length and can be extended to 32K during inference time.
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The [`Yi-6B-200K`](https://huggingface.co/01-ai/Yi-6B-200K)
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and [`Yi-34B-200K`](https://huggingface.co/01-ai/Yi-34B-200K) are base model with
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200K context length.
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## News
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The Yi series models are fully open for academic research and free commercial
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usage with permission via applications. All usage must adhere to the [Model
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+
License Agreement 2.0](https://huggingface.co/01-ai/Yi-6B/blob/main/LICENSE). To
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apply for the official commercial license, please contact us
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([yi@01.ai](mailto:yi@01.ai)).
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