Guides the use of RWKV, a language model architecture that carries information forward in a compact state. Covers streaming text generation, long document processing, fine-tuning, and memory comparisons with Transformers.
- Build streaming text generation
- Process long documents in chunks
- Compare memory needs with Transformers
davila7/claude-code-templates☆ 32.8KUpdated Oct 20, 2026
Guides you through setting up RWKV, generating text, processing long documents in chunks, and fine-tuning models. Explains how to carry context between steps and compare memory use with Transformer models.
- Build streaming text generation
- Process long documents in chunks
- Plan RWKV fine-tuning
Orchestra-Research/AI-Research-SKILLs☆ 13.7KUpdated Oct 11, 2026
Híbrido RNN+Transformer com inferência O(n). Tempo linear, contexto infinito, sem cache KV. Treina como GPT (paralelo), infere como RNN (sequencial). Projeto Linux Foundation AI. Produção em Windows, Office, NeMo. RWKV-7 (março de 2025). Modelos até 14B parâmetros.
The English summary is being prepared. Showing the original description.
artubss/SKILLS-CLAUDE-CODE☆ 11Updated May 17, 2026
RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.
The English summary is being prepared. Showing the original description.
huang-sh/DeepScience☆ 4Updated Jul 15, 2026