Megatron-LM

NVIDIA/Megatron-LM

Ongoing research training transformer models at scale

16,615 stars

4,043 forks

Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/NVIDIA/Megatron-LM

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/NVIDIA/Megatron-LM ~/.claude/skills/Megatron-LM

# Project-specific

git clone https://github.com/NVIDIA/Megatron-LM .claude/skills/Megatron-LM

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/NVIDIA/Megatron-LM"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/NVIDIA/Megatron-LM

Option 2: Clone to extensions directory

git clone https://github.com/NVIDIA/Megatron-LM ~/.gemini/extensions/Megatron-LM

Topics

large-language-models model-para transformers

Related Skills

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

skill-writer

Tensors and Dynamic neural networks in Python with strong GPU acceleration