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architecture

NanoGPT implements a clean GPT-2 architecture in minimal code for educational purposes.

  • Skills
  • AI research
  • 186

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.

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

Install (Claude Code)

mkdir -p .claude/skills/architecture && curl -fsSL https://doutorai.pt/data/lib/skills__architecture.md -o .claude/skills/architecture/SKILL.md

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

Content

# NanoGPT Architecture

## Model Structure (~300 Lines)

NanoGPT implements a clean GPT-2 architecture in minimal code for educational purposes.

### Complete Model (model.py)

```python
import torch
import torch.nn as nn
from torch.nn import functional as F

class CausalSelfAttention(nn.Module):
    """Multi-head masked self-attention layer."""

    def __init__(self, config):
        super().__init__()
        assert config.n_embd % config.n_head == 0

        # Key, query, value projections for all heads (batched)
        self.c_attn = nn.Linear(config.n_embd, 3 * config.n_embd, bias=config

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