Tensorrt Llm

🌐Community
by zechenzhangagi · vlatest · Repository

Provides LLMs guidance and assistance for building AI and machine learning applications.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add zechenzhangagi-tensorrt-llm npx -- -y @trustedskills/zechenzhangagi-tensorrt-llm
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "zechenzhangagi-tensorrt-llm": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/zechenzhangagi-tensorrt-llm"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill leverages TensorRT LLM to optimize and accelerate large language model inference. It allows for faster generation speeds and reduced latency compared to standard LLM deployments, particularly beneficial for resource-constrained environments or real-time applications. The skill focuses on deploying and running optimized LLMs using NVIDIA's TensorRT technology.

When to use it

  • Real-time chatbots: Reduce response times in conversational AI applications where low latency is crucial.
  • Edge deployment: Run large language models efficiently on devices with limited computational resources, like embedded systems or mobile phones.
  • High-throughput inference: Increase the number of requests a model can handle per second for services requiring significant scale.
  • Model experimentation: Quickly test and evaluate different LLM configurations and optimizations using TensorRT's capabilities.

Key capabilities

  • LLM Inference Optimization
  • TensorRT Integration
  • Reduced Latency
  • Faster Generation Speed
  • Edge Deployment Support

Example prompts

  • "Run the optimized Llama-2 model for this prompt: 'Write a short story about a cat.'"
  • "Deploy the Falcon-7B model using TensorRT and measure its inference speed."
  • "Generate text with the Mistral-7B model, prioritizing low latency."

Tips & gotchas

  • Requires an NVIDIA GPU for optimal performance. TensorRT is designed to leverage NVIDIA hardware acceleration.

Tags

🛡️

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Details

Version
vlatest
License
Author
zechenzhangagi
Installs
16

🌐 Community

Passed automated security scans.