The LLM360 project has released two 7B parameter large language models AMBER and CRYSTALCODER as open source. This move highlights the importance of open source LLM in the field of artificial intelligence. The initiative aims to promote the transparency of global open source large language models and promote their widespread application in academia and industry. The pre-training performance of the AMBER model on four data sets is also demonstrated, providing a reliable basis for evaluation of its performance. This will help researchers better understand and improve open source large language model technology.
LLM360 plans to be fully open source and release two 7B parameter LLMs, AMBER and CRYSTALCODER. The study emphasizes the importance of open source LLMs, demonstrates the pre-training performance of the AMBER model on four data sets, and promotes a transparent initiative for global open source large language models.
The open source initiative of the LLM360 program provides valuable resources to artificial intelligence researchers around the world and is conducive to promoting the development and application of large language model technology. It also reflects its commitment to promoting open cooperation in the field of artificial intelligence. We look forward to seeing more innovative applications based on this in the future.