DeepSeek 7B
About
DeepSeek LLM 7B is an open-source model boasting 7 billion parameters, designed for multilingual tasks in English and Chinese, having trained on a substantial dataset of 2 trillion tokens 378. It follows an architecture akin to LLaMA's Multi-Head Attention, with variations tailored for different applications like the base and chat models 8. This model excels in benchmarks for language comprehension, reasoning, coding, and mathematics, though its effectiveness can vary based on task complexity and input quality 89. Prompt engineering, especially chain-of-thought prompting, enhances its performance further 1. Despite its strengths, the model's training parameters and some architectural specifics could vary, with full details not always disclosed 78. Expanding the DeepSeek LLM family, the developers have also introduced a larger 67B model and vision-language variants 810.