Vllm Studio
VLLM Studio provides a streamlined interface for experimenting and deploying large language models locally, accelerating development and understanding.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add vllm-studio npx -- -y @trustedskills/vllm-studio
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"vllm-studio": {
"command": "npx",
"args": [
"-y",
"@trustedskills/vllm-studio"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The vllm-studio skill provides a user interface for interacting with and experimenting with large language models (LLMs). It allows users to deploy, manage, and query LLMs through a web browser. This includes features like streaming responses and managing model configurations.
When to use it
- Rapid prototyping: Quickly test different LLM prompts and settings without complex coding.
- Model exploration: Experiment with various models and parameters to understand their capabilities.
- Demo creation: Easily generate interactive demos showcasing LLM functionality.
- Educational purposes: Provide a visual interface for learning about and understanding LLMs.
Key capabilities
- LLM deployment via web UI
- Model configuration management
- Streaming response support
- Web browser accessibility
Example prompts
- "Run the 'hello world' prompt on the Llama 2 model."
- "Deploy a Mistral-7B model with a context length of 4096 tokens."
- "Show me the available models and their configurations."
Tips & gotchas
Requires an existing vLLM installation. Familiarity with LLMs and their parameters is helpful for effective use.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.