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model-architecture-rwkv

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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.

cli-tool/components/skills/ai-research/model-architecture-rwkv/SKILL.md

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# RWKV - Receptance Weighted Key Value

## Quick start

RWKV (RwaKuv) combines Transformer parallelization (training) with RNN efficiency (inference).

**Installation**:
```bash
# Install PyTorch
pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu121

# Install dependencies
pip install pytorch-lightning==1.9.5 deepspeed wandb ninja --upgrade