dreadnode

conferences

defcon_grt_notebook

Quickstart notebook for the DEF CON 32 Generative Red-teaming Challenge

marque

Minimal workflows

paperstack

Arxiv + Notion Sync

parley

Tree of Attacks (TAP) Jailbreaking Implementation

research

General research for Dreadnode

rigging

Lightweight LLM Interaction Framework

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

tensorrtllm_backend

The Triton TensorRT-LLM Backend

transformers-neuronx

dreadnode/rigging

Lightweight LLM Interaction Framework

dreadnode/parley

Tree of Attacks (TAP) Jailbreaking Implementation

dreadnode/conferences

dreadnode/research

General research for Dreadnode

dreadnode/marque

Minimal workflows

dreadnode/paperstack

Arxiv + Notion Sync

dreadnode/defcon_grt_notebook

Quickstart notebook for the DEF CON 32 Generative Red-teaming Challenge

dreadnode/TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

dreadnode/tensorrtllm_backend

The Triton TensorRT-LLM Backend

dreadnode/transformers-neuronx

dreadnode/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs