Skill · em Dados, IA e pesquisa

rwkv-architecture

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.

Procedência

Antes de instalar

4 arquivos · 35,5 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/rwkv-architecture/.

d=".claude/skills/rwkv-architecture"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-rwkv"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/architecture-details.md" "$u/references/architecture-details.md" \
  -o "$d/references/rwkv7.md" "$u/references/rwkv7.md" \
  -o "$d/references/state-management.md" "$u/references/state-management.md"

Global: instala em ~/.claude/skills/rwkv-architecture/.

d="$HOME/.claude/skills/rwkv-architecture"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-rwkv"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/architecture-details.md" "$u/references/architecture-details.md" \
  -o "$d/references/rwkv7.md" "$u/references/rwkv7.md" \
  -o "$d/references/state-management.md" "$u/references/state-management.md"

Codex

Neste projeto: instala em .agents/skills/rwkv-architecture/.

d=".agents/skills/rwkv-architecture"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-rwkv"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/architecture-details.md" "$u/references/architecture-details.md" \
  -o "$d/references/rwkv7.md" "$u/references/rwkv7.md" \
  -o "$d/references/state-management.md" "$u/references/state-management.md"

Global: instala em ~/.agents/skills/rwkv-architecture/.

d="$HOME/.agents/skills/rwkv-architecture"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-rwkv"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/architecture-details.md" "$u/references/architecture-details.md" \
  -o "$d/references/rwkv7.md" "$u/references/rwkv7.md" \
  -o "$d/references/state-management.md" "$u/references/state-management.md"

Antigravity

Neste projeto: instala em .agents/skills/rwkv-architecture/.

d=".agents/skills/rwkv-architecture"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-rwkv"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/architecture-details.md" "$u/references/architecture-details.md" \
  -o "$d/references/rwkv7.md" "$u/references/rwkv7.md" \
  -o "$d/references/state-management.md" "$u/references/state-management.md"

Global: instala em ~/.gemini/antigravity-cli/skills/rwkv-architecture/.

d="$HOME/.gemini/antigravity-cli/skills/rwkv-architecture"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-rwkv"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/architecture-details.md" "$u/references/architecture-details.md" \
  -o "$d/references/rwkv7.md" "$u/references/rwkv7.md" \
  -o "$d/references/state-management.md" "$u/references/state-management.md"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.rwkv-architecture

Prévia do SKILL.md

---
name: rwkv-architecture
description: 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.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [RWKV, Model Architecture, RNN, Transformer Hybrid, Linear Complexity, Infinite Context, Efficient Inference, Linux Foundation, Alternative Architecture]
dependencies: [rwkv, torch, transformers]
---

# 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

# Install RWKV
pip install rwkv
```

**Basic usage** (GPT mode + RNN mode):
```python
import os
from rwkv.model import RWKV

os.environ["RWKV_JIT_ON"] = '1'
os.environ["RWKV_CUDA_ON"] = '1'  # Use CUDA kernel for speed

# Load model
model = RWKV(
    model='/path/to/RWKV-4-Pile-1B5-20220903-8040',
    strategy='cuda fp16'
…

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