RWKV 是开创性的开源大模型架构，将Transformer的性能与RNN的线性推理效率结合，推理时无需KV Cache，显存占用低，适合CPU与边缘设备部署。支持多语言、长上下文（Eagle系列上下文可达百万级token），生态包含vLLM、llama.cpp等推理支持。GitHub Stars 14.6k+。 🔗 文章: /zh/post/local-llm-setup-guide-2026-run-ai-models-534201 | GitHub Stars: 14.6k+
RWKV is a pioneering RNN-based open-source LLM architecture combining transformer quality with linear-time inference — no KV cache, low VRAM, ideal for CPU and edge deployment. GitHub Stars 14.6k+. 🔗 Article: /zh/post/local-llm-setup-guide-2026-run-ai-models-534201 | GitHub Stars: 14.6k+