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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic
  1. Skills
  2. /
  3. davila7
  4. /
  5. claude-code-templates
  6. /
  7. Tensorrt Llm

Tensorrt Llm

Editor's Note

This is NVIDIA's optimization library for squeezing maximum performance out of LLMs on their GPUs. If you're deploying on A100s or H100s and need serious throughput (the docs claim 24,000+ tokens per second on Llama 3), this is the toolkit. It handles quantization down to FP4 and scales across multiple GPUs, but you're trading setup simplicity for raw speed. The skill points out that vLLM might be better if you want something more straightforward or aren't locked into NVIDIA hardware. With 27.7K GitHub stars and 353 installs, it's clearly production-grade stuff, though you'll need to be comfortable with TensorRT compilation and GPU-specific optimization work.

Install

npx skills add https://github.com/davila7/claude-code-templates --skill tensorrt-llm
Votes
0
Installs353
GitHub Stars27.7k
Categories
AI & Agent Building
First SeenJun 3, 2026
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