RWKV/v5-EagleX-v2-7B-HF is a 7.52 billion parameter causal language model from RWKV, trained on 2.25 trillion tokens. This model is the Hugging Face Transformers implementation of the EagleX 7B v2, notable for its improved performance over previous EagleX versions and competitive general language understanding compared to other 7B models. It is designed for general text generation and understanding tasks, offering a strong foundation for various applications.
No reviews yet. Be the first to review!