tiny CohereForCausalLM

The *tiny CohereForCausalLM* model is a lightweight version specifically designed for unit testing within the TRL library. It is a causal language model optimized for text generation tasks, capable of producing coherent and relevant sequences from a given input. Despite its minimalist design, it retains the essential features of a causal model, such as predicting the next word in a sentence. Its primary use case remains automated testing, ensuring the robustness of the tools that integrate it. This model stands out for its lightness and simplicity, making it ideal for quick checks without requiring significant computational resources.