state-management

Unlike Transformers with KV cache, RWKV maintains a fixed-size recurrent state that summarizes all previous context.

Skills
AI research
0

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/state-management && curl -fsSL https://doutorai.pt/data/lib/skills__state-management.md -o .claude/skills/state-management/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# RWKV State Management

## Understanding RWKV State

Unlike Transformers with KV cache, RWKV maintains a **fixed-size recurrent state** that summarizes all previous context.

### State Components

```python
state = {
    'att_aa': torch.zeros(n_layers, d_model),  # Attention numerator accumulator
    'att_ab': torch.zeros(n_layers, d_model),  # Attention denominator accumulator
    'att_x_prev': torch.zeros(n_layers, d_model),  # Previous x for time-mixing
    'ffn_x_prev': torch.zeros(n_layers, d_model)   # Previous x for channel-mixing
}
```

**Total state size**: `4 × n_layers × d_model` p

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