NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
Tools for merging pretrained large language models.
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Ongoing research training transformer models at scale
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
State-of-the-Art Embeddings, Retrieval, and Reranking
AirLLM 70B inference with single 4GB GPU
OpenMMLab Foundational Library for Training Deep Learning Models
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.