dLLM: Simple Diffusion Language Modeling

AI/ML Pentesting Roadmap for Beginners

Burp Suite Extension for LLM Prompt Injection Testing

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

A lightweight, lightning-fast, in-process vector database

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦

A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downs…

Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.

MoBA: Mixture of Block Attention for Long-Context LLMs