Yi-1.5: True Apache 2.0 Competitor to LLAMA-3
TLDRThe Yi-1.5 model family, developed by 01 AI, has recently upgraded, now surpassing LLAMA-3 benchmarks. These models are notable for extending the context window to 200,000 tokens and are available in multimodal versions. The release includes three models with 6 billion, 9 billion, and 34 billion parameters, all trained on 4.1 trillion tokens and fine-tuned on 3 million samples. Despite a smaller context window of 4,000 tokens, the models are expected to expand this soon. The 34 billion parameter model stands out for its close performance to the LLAMA 370 billion model. The models excel in coding, math reasoning, and instruction following. They are released under Apache 2.0, allowing commercial use without restrictions. The 6 billion parameter model is particularly interesting for its potential to run on modern smartphones. The models have been tested using the Gradio app and demonstrated strong performance in various scenarios, including reasoning, math, and coding tasks. The upcoming release of the Yi Large model is anticipated to offer further advancements in the field of large language models.
Takeaways
- 🚀 The Yi-1.5 model family, developed by 01 AI from China, has been significantly upgraded to outperform LLAMA-3 benchmarks.
- 📜 Yi-1.5 is released under the Apache 2.0 license, allowing for commercial use without restrictions.
- 🔢 Three different models are available with 6 billion, 9 billion, and 34 billion parameters, each an upgraded version of the original Yi models.
- 📈 The 34 billion parameter model reportedly outperforms the LLAMA-370 billion model in benchmarks.
- 💡 Yi-1.5 models demonstrate strong performance in coding, math reasoning, and instruction following capabilities.
- 📲 The 6 billion parameter model is designed to potentially run on a modern smartphone.
- 🧠 The models have a context window of 4,000 tokens, but the company has experience with models that extend this to 100,000 tokens, suggesting future improvements.
- 🤖 When asked unethical questions, Yi-1.5 provides educational responses without engaging in the unethical activity.
- 📉 The model correctly handles logic and reasoning questions, even with follow-up queries, demonstrating its understanding and memory capabilities.
- 🔢 Yi-1.5 shows good mathematical problem-solving skills, providing accurate answers to probability and basic arithmetic questions.
- 💾 The model acknowledges context and instructions, showing its ability to use provided context to answer questions accurately.
- 🛠️ Yi-1.5 is capable of identifying errors in Python code and has basic programming understanding, which could be useful for debugging and development tasks.
Q & A
What is the significance of the Yi-1.5 model family upgrade?
-The Yi-1.5 model family upgrade is significant because it now surpasses Long benchmarks and is released under the Apache 2.0 license, allowing for commercial use without limitations. It also extends the context window of an open LLM to 200,000 tokens and includes multimodal versions from the ground up.
Which company developed the Yi-1.5 model series?
-The Yi-1.5 model series is developed by 01 AI, a company based out of China.
What are the three different models released under the Yi-1.5 series?
-The three different models released under the Yi-1.5 series are one with 6 billion parameters, another with 9 billion parameters, and the third one with 34 billion parameters.
How many tokens were used for further fine-tuning the Yi-1.5 models after the original pre-training?
-The Yi-1.5 models were further fine-tuned on 3 million samples after the original pre-training.
What is the current context window for modern LLMs in the Yi-1.5 models?
-The current context window for modern LLMs in the Yi-1.5 models is 4,000 tokens.
How does the 34 billion parameter version of the Yi-1.5 model perform in benchmarks?
-The 34 billion parameter version of the Yi-1.5 model performs closely or even outperforms the LLaMa 370 billion model in benchmarks.
What are some of the capabilities that the Yi-1.5 model is strong in, according to the new release?
-The new release states that the Yi-1.5 model delivers strong performance in coding, math reasoning, and instruction following capabilities.
Where can one test the 34 billion parameter version of the Yi-1.5 model?
-The 34 billion parameter version of the Yi-1.5 model is available for testing on Hugging Face.
What is the maximum number of tokens that can be set using the Gradio app for testing the Yi-1.5 model?
-The maximum number of tokens that can be set using the Gradio app for testing the Yi-1.5 model is 2,000 tokens.
How does the Yi-1.5 model handle requests involving illegal activities?
-The Yi-1.5 model refuses to assist with requests involving illegal activities, even when rephrased for educational purposes, it maintains a stance against promoting such actions.
What is the reasoning ability of the Yi-1.5 model when tested with follow-up questions?
-The Yi-1.5 model demonstrates good reasoning abilities, remembering what was mentioned before and providing accurate responses to follow-up questions based on the given context.
How does the Yi-1.5 model perform in coding tasks?
-The Yi-1.5 model shows the ability to understand and correct simple programming errors, and it can generate code for basic tasks, such as writing a Python function to download files from an S3 bucket.
What is the limitation of the Yi-1.5 model in terms of context window?
-The limitation of the Yi-1.5 model is its context window of 4,000 tokens, although it is expected that they may expand on this soon with a 200,000 token context window version.
Outlines
🚀 Introduction to the New Ye Model Family
The Ye model family from 01 AI, a Chinese company, has received a significant upgrade, now surpassing large language model benchmarks. The models are known for their extended context window of 200,000 tokens and are available in multimodal versions. The new release includes three models with 6 billion, 9 billion, and 34 billion parameters, all of which have been fine-tuned on 3 million samples after initial pre-training. These models are released under the Apache 2.0 license, allowing for commercial use. The 6 billion parameter model is particularly notable for its potential to run on modern smartphones. The 34 billion parameter model stands out for its close performance to the 370 billion parameter LLaMa model, especially in coding, math reasoning, and instruction following capabilities. Testing is available on Hugging Face, and the 9 billion parameter model is used for local machine testing in the video.
🧐 Testing Ye Model's Reasoning and Understanding
The video script details a series of tests conducted to evaluate the Ye model's reasoning and understanding capabilities. It includes a family relationship question, a logical deduction scenario involving hunger and kitchen visits, a memory test concerning multiple items, and a question about interpreting mirror writing on a door. The model demonstrates a good understanding of context, the ability to reason through complex family relationships, and to make logical deductions based on given scenarios. However, it struggles with keeping track of multiple items in a sequence and correctly interpreting mirror writing on a door, which is a challenging task even for smaller models.
🔢 Evaluating Mathematical and Contextual Abilities
The script outlines the model's performance on mathematical questions and its ability to retrieve information from provided context. The model accurately calculates probabilities and performs basic arithmetic operations. It also shows an understanding of context when given a hypothetical scientific paper on synthetic polymers and is able to answer questions based on that context. Additionally, the model is tested on its coding capabilities, where it successfully identifies errors in a provided Python program and constructs a basic function to download files from an S3 bucket. However, it partially fails to generate a random joke in an HTML code snippet due to an issue with the random number generator.
🌟 Conclusion and Recommendations
The video concludes with a recommendation for those building large language model (LLM) applications to test the Ye model, as well as the LLaMa 3 and Meena models, to determine the best fit for their specific application. The Ye model's performance is promising, particularly considering its Apache 2.0 licensing, which allows for unrestricted commercial use. The upcoming release of the Ye large model is also anticipated, suggesting that models on par with GP4 will soon be available. The video provides a comprehensive overview of the Ye model's capabilities and potential applications.
Mindmap
Keywords
💡Yi-1.5
💡Apache 2.0
💡Context Window
💡Multimodal Versions
💡Commercial Offering
💡Benchmarks
💡Parameter
💡Hugging Face
💡Gradio
💡Quantized Version
💡Reasoning Capabilities
Highlights
Yi-1.5 model family, developed by 01 AI, has significantly upgraded, now surpassing Long benchmarks.
The Yi-1.5 models are released under the Apache 2.0 license, allowing for commercial use.
Yi-1.5 models extend the context window of an open LLM to 200,000 tokens.
Multimodal versions of Yi-1.5 are available from the ground up.
Three different models are released: 6 billion, 9 billion, and 34 billion parameters.
The 6 billion parameter model can potentially run on a modern smartphone.
The 9 billion parameter model outperforms all other models in its class.
The 34 billion parameter model performs closely or even outperforms the LLaMa-3 70 billion model.
Yi-1.5 models demonstrate strong performance in coding, math reasoning, and instruction following.
The 34 billion model is available for testing on Hugging Face.
The Yi-1.5 models show an understanding of ethical boundaries, refusing to assist with illegal activities.
The models can generate jokes and respond to prompts without outright denial.
Yi-1.5 models can make logical deductions and track multiple items in a scenario.
The 34 billion parameter model correctly interprets mirror writing instructions on a door.
Yi-1.5 models can perform basic mathematical calculations and probability assessments.
The models can retrieve and provide accurate information based on provided context.
Yi-1.5 models are capable of identifying and correcting simple programming errors.
The models can generate HTML code for a webpage with interactive elements.
Despite the impressive capabilities, the context window of 4,000 tokens is a limitation.
The upcoming release of the Yi-Large model is anticipated to offer even greater capabilities.
