RWKV-LM
Leveraging a unique attention-free architecture, RWKV combines the strengths of RNNs and Transformers to deliver exceptional language model performance. It supports rapid inference, low VRAM usage, and efficient training. RWKV's parallelization capabilities facilitate GPT-style computation, making it adaptable for various AI applications such as text generation and image processing. This model is compatible with edge devices, ensuring resource efficiency and offering diverse training and fine-tuning options for tailored outputs across different data scales.
