The OpenChat training system uses padding-free training and the Multipack Sampler, resulting in a 3-10x speedup compared to conventional padded training. Despite its advanced capabilities, OpenChat has limitations in complex reasoning, mathematical tasks, programming challenges, and may sometimes generate inaccurate information. The OpenChat 3.5 code and models are distributed under the Apache License 2.0.
Key takeaways:
- OpenChat is an open-source language model library that uses a strategy inspired by offline reinforcement learning to learn from mixed-quality data without preference labels.
- The OpenChat 3.5 model, fine-tuned with C-RLFT and Mistral 7B as the base, has shown comparable results with ChatGPT and even outperformed Grok models with 33 billion parameters using only 7 billion parameters.
- The OpenChat training system utilizes padding-free training and the Multipack Sampler, achieving a 3~10x speedup compared to conventional padded training.
- Despite its advanced capabilities, OpenChat still has limitations in complex reasoning, mathematical and arithmetic tasks, programming and coding challenges, and may sometimes generate harmful or inaccurate responses.