Individual skill
model-architecture-rwkv
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.
skills-imported/model-architecture-rwkv/SKILL.md
Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae
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- License
- MIT
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- agent-skills Repository topic
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- rwkv Declared skill tag
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- transformer-hybrid Declared skill tag
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- engineering Derived category
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Read excerpt
# 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
