Text Generation
Transformers
Safetensors
llama
conversational
Eval Results
text-generation-inference
Instructions to use 01-ai/Yi-1.5-9B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 01-ai/Yi-1.5-9B-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="01-ai/Yi-1.5-9B-Chat") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("01-ai/Yi-1.5-9B-Chat") model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-1.5-9B-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=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 01-ai/Yi-1.5-9B-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-1.5-9B-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-1.5-9B-Chat", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/01-ai/Yi-1.5-9B-Chat
- SGLang
How to use 01-ai/Yi-1.5-9B-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-1.5-9B-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-1.5-9B-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-1.5-9B-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-1.5-9B-Chat", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use 01-ai/Yi-1.5-9B-Chat with Docker Model Runner:
docker model run hf.co/01-ai/Yi-1.5-9B-Chat
Update README.md
Browse filesadd wisemodel link
README.md
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| Yi-1.5-34B-Chat | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Yi-1.5-34B-Chat-16K | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Yi-1.5-9B-Chat | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Yi-1.5-9B-Chat-16K | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Yi-1.5-6B-Chat | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Yi-1.5-34B | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Yi-1.5-34B-32K | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Yi-1.5-9B | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Yi-1.5-9B-32K | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Yi-1.5-6B | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Name | Download |
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| Yi-1.5-34B-Chat | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) β’ [WiseModel](https://wisemodel.cn/models/01.AI/Yi-1.5-34B-ChatοΌ|
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| Yi-1.5-34B-Chat-16K | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) β’ [WiseModel](https://wisemodel.cn/models/01.AI/Yi-1.5-34B-Chat-16KοΌ |
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| Yi-1.5-9B-Chat | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) β’ [WiseModel](https://wisemodel.cn/models/01.AI/Yi-1.5-9B-ChatοΌ|
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| Yi-1.5-9B-Chat-16K | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) β’ [WiseModel](https://wisemodel.cn/models/01.AI/Yi-1.5-9B-Chat-16KοΌ|
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| Yi-1.5-6B-Chat | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) β’ [WiseModel](https://wisemodel.cn/models/01.AI/Yi-1.5-6BοΌ|
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| Name | Download |
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| Yi-1.5-34B | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) β’ [WiseModel](https://wisemodel.cn/models/01.AI/Yi-1.5-34BοΌ |
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| Yi-1.5-34B-32K | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) β’ [WiseModel](https://wisemodel.cn/models/01.AI/Yi-1.5-34B-32KοΌ|
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| Yi-1.5-9B | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) β’ [WiseModel](https://wisemodel.cn/models/01.AI/Yi-1.5-9BοΌ |
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| Yi-1.5-9B-32K | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) β’ [WiseModel](https://wisemodel.cn/models/01.AI/Yi-1.5-9B-32KοΌ|
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| Yi-1.5-6B | β’ [π€ Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β’ [π€ ModelScope](https://www.modelscope.cn/organization/01ai) β’ [WiseModel](https://wisemodel.cn/models/01.AI/Yi-1.5-6BοΌ|
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