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Linux distribution and platform bundling Zeek, Suricata, Elastic stack, and analyst UIs for NSM and log hunting.

YAML-configured fine-tuning for LLMs: LoRA, QLoRA, FSDP, and many architectures on top of Hugging Face trainers.

Optimized fine-tuning library claiming 2× faster LoRA/QLoRA with less VRAM via custom kernels and Hugging Face compatibility.

Allen AI fully open LLM **pipeline**: weights, training code, data mixes, and evaluation—research transparency flagship.

EleutherAI framework and 20B-class models for training large autoregressive LMs with 3D parallelism—Apache-2.0 training stack.

Distributed compute framework for Python: scale data loading, training, hyperparameter search, and online serving (Ray Serve).

Microsoft library for extreme-scale model training: ZeRO optimizer states, pipeline parallelism, and inference kernels.

YOLO-family detection/segmentation/pose training and deployment toolkit with CLI and Python API.

Hugging Face library to run PyTorch training on CPU, single GPU, multi-GPU, or TPU with minimal code changes.

NVIDIA library for FP8/FP4 and fused kernels on Hopper/Ada-class GPUs to accelerate Transformer training and inference.