Explore the implementation of Mosaic ML's new MPT-7B language model in Hugging Face transformers and LangChain. Learn how to utilize various MPT-7B models, including instruct, chat, and storywriter-65k versions, while gaining access to powerful tooling such as AI agents and chatbot functionality. Follow along with Python setup, model initialization, tokenizer configuration, and text generation processes. Discover the potential of open-source LLMs and their integration with popular NLP libraries for advanced natural language processing tasks.
Overview
Syllabus
Open Source LLMs like MPT-7B
MPT-7B Models in Hugging Face
Python setup
Initializing MPT-7B-Instruct
Initializing the MPT-7B tokenizer
Stopping Criteria and HF Pipeline
Hugging Face Pipeline
Generating Text with Hugging Face
Implementing MPT-7B in LangChain
Final Thoughts on Open Source LLMs
Taught by
James Briggs
