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TensorRT Edge-LLM

TensorRT Edge-LLM

Table of Contents

Getting Started

Overview
Supported Models
Installation
Quick Start Guide
Limitations and Known Issues

Examples

Examples
VLM (Vision-Language Model) Inference
Speculative Decoding
Phi-4-Multimodal
ASR (Automatic Speech Recognition)
MoE (Mixture of Experts)
TTS (Text-to-Speech)
Alpamayo-R1-10B (Vision-Language-Action)
Experimental High-Level Python API and Server

Features

LoRA (Low-Rank Adaptation)
Quantization
Vocabulary Reduction
FP8 KV Cache
FP8 Embedding
Streaming Output
System Prompt Cache

Input & Chat Format

Input JSON Format
Chat Template Format

Performance

Performance Benchmarks

Software Design

Checkpoint Exporter Design
Quantization Package Design
Engine Builder
C++ Runtime Overview
LLM Inference Runtime
LLM Streaming — Design

Customization

Customization Guide
TensorRT Plugins Guide

Testing

Code Coverage with SonarQube

APIs

Python API Reference
C++ API Reference

Quick Links

Releases
GitHub
Roadmap

C++ API Reference
Runtime Module
Spec Decode Utils

Spec Decode Utils#

namespace trt_edgellm

namespace rt

namespace spec_decode_utils#

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Shared Resources

next

Step Preparer

On this page

trt_edgellm
- trt_edgellm::rt
  - trt_edgellm::rt::spec_decode_utils

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Last updated on July 02, 2026.

This page is generated by TensorRT-Edge-LLM commit 30941a6.