What is Yi-1.5?

The Yi-1.5 series is a set of next-generation, open-source large language models developed by 01.AI, a company founded by Dr. Kai-Fu Lee. These models are particularly renowned for their strong performance in both English and Chinese, making them a top choice for bilingual applications. While the models are open-source, they are also available for easy deployment and inference through cloud services like Alibaba Cloud’s Platform for AI (PAI), providing a scalable solution for enterprise use.

Key Features

• Exceptional Bilingual Performance: Yi-1.5 models are pre-trained on a high-quality, multilingual corpus, delivering state-of-the-art results in both Chinese and English language tasks.
• Multiple Model Sizes: The series includes various sizes, such as 9B and 34B parameter models, allowing developers to choose the best balance between performance and computational cost.
• Large Context Window: With a 32K context window, Yi-1.5 can process and understand long documents, complex conversations, and extensive codebases in a single pass.
• Strong Coding Abilities: The models demonstrate impressive capabilities in code generation, completion, and explanation across various programming languages.
• Open Source & Commercially Friendly: Released under the Apache 2.0 license, the Yi series is available for both academic research and commercial use, fostering widespread adoption and innovation.

Use Cases

• Multilingual Customer Support: Powering chatbots and virtual assistants that can seamlessly communicate with customers in both English and Chinese.
• Content Creation: Generating articles, summaries, and marketing copy for bilingual audiences.
• Software Development: Assisting developers with code generation, debugging, and documentation.
• Cross-lingual Information Retrieval: Building search and Q&A systems that can pull information from sources in different languages.

Getting Started

Here’s a simple “Hello World” style example using the transformers library to run the Yi-1.5 9B chat model.

```python from transformers import AutoModelForCausalLM, AutoTokenizer

Define the model ID

model_id = “01-ai/Yi-1.5-9B-Chat”

Load the tokenizer and model

tokenizer = AutoTokenizer.from_pretrained(model_id, use_fast=False) model = AutoModelForCausalLM.from_pretrained( model_id, device_map=”auto”, torch_dtype=’auto’ ).eval()

Prepare the messages for the chat model

messages = [ {“role”: “user”, “content”: “Hello! Can you write a short story about an astronaut who finds a mysterious alien artifact?”} ]

Format the input and generate a response

input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors=’pt’) output_ids = model.generate(input_ids.to(‘cuda’), max_new_tokens=512) response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)

print(response)

Pricing

The Yi-1.5 models are fundamentally Open Source under the Apache 2.0 license, meaning they are free to download and use for research or commercial purposes. However, running these large models requires significant computational resources. For enterprise-grade performance and scalability without managing infrastructure, they can be accessed via a Paid, usage-based model on cloud platforms like Alibaba Cloud PAI.