production-examples
Real-world production deployments using Megatron-Core and Megatron-LM.
- Skills
- AI research
- 3
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/production-examples && curl -fsSL https://doutorai.pt/data/lib/skills__production-examples.md -o .claude/skills/production-examples/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Production Examples
Real-world production deployments using Megatron-Core and Megatron-LM.
## Meta LLaMA 3
### Overview
- **Models**: 8B, 70B, 405B parameters
- **Training Infrastructure**: Two 24,000 H100 GPU clusters
- **Total Investment**: Massive scale, months of training
- **Training Data**: 15 trillion tokens for 405B model
- **Status**: Production deployed (llama.meta.com)
### LLaMA 3.1 405B - Largest Open Model
**Architecture**:
```yaml
Parameters: 405 billion
Layers: 126
Hidden size: 16384
Attention heads: 128
Query groups: 8 (GQA)
FFN size: 53248
Vocabulary: 128,256 tokens
Max
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