MPT-7B - The New KING of Open-Source LLMs

TL;DR

Mosaic ML has launched the MPT-7B model, an open source Transformer-based model trained on 1 trillion tokens of text and code. It performs exceptionally well and offers commercial use.

Transcript

welcome back in this video we're going to be taking a look at the newly launched model by Mosaic ml called mpt-7b and it actually is four separate models and it performs really well a lot of folks are saying that this is the best open source model out there so let's take a look here's the website for the announcement it's mosaicml.com blog mpt-7b I... Read More

Key Insights

• 🤗 The MPT-7B model by Mosaic ML is an open source Transformer-based model trained on a large dataset of text and code.
• 😒 It offers commercial use, making it an attractive option for businesses.
• 🤗 The model performs on par with other open source models and offers larger context sizes.
• 👾 It can be run locally, in a browser using Hugging Face spaces, and through the GPT for all UI.
• 👊 The MPT-7B model has different example models for instruct fine-tuning, chat dialogue, and story writing.
• 👨‍💻 It is capable of generating code and has shown promising results in various prompts and tasks.
• ✋ The model has some limitations, such as the need for high processing power for larger context sizes.

Questions & Answers

Q: What is the MPT-7B model and how was it trained?

The MPT-7B model is an open source Transformer-based model trained on one trillion tokens of text and code. It was trained on the Mosaic ML platform in nine and a half days, costing around $200,000.

Q: Can the MPT-7B model be used commercially?

Yes, unlike the Llama model, the MPT-7B model can be used commercially, making it an exciting option for businesses.

Q: How does the MPT-7B model compare to other open source models?

The MPT-7B model performs exceptionally well, on par with the llama 7B model and outperforms others in terms of context sizes.

Q: How can the MPT-7B model be run?

The MPT-7B model can be downloaded and run locally. Additionally, Mosaic ML has provided Hugging Face spaces where the model can be run in a browser, and it is also available in the GPT for all UI.

Key Insights:

• The MPT-7B model by Mosaic ML is an open source Transformer-based model trained on a large dataset of text and code.
• It offers commercial use, making it an attractive option for businesses.
• The model performs on par with other open source models and offers larger context sizes.
• It can be run locally, in a browser using Hugging Face spaces, and through the GPT for all UI.
• The MPT-7B model has different example models for instruct fine-tuning, chat dialogue, and story writing.
• It is capable of generating code and has shown promising results in various prompts and tasks.
• The model has some limitations, such as the need for high processing power for larger context sizes.
• Mosaic ML provides detailed benchmarks and examples to showcase the capabilities of the MPT-7B model.

Summary & Key Takeaways

• Mosaic ML has launched the MPT-7B model, which is an open source Transformer-based model trained on text and code.

• The model includes a 7B base model and three example models for instruct fine-tuning, chat dialogue, and story writing.

• The MPT-7B model performs on par with other open source models and offers larger context sizes.