A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
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Ongoing research training transformer models at scale
Fast inference engine for Transformer models
A Next-Generation Training Engine Built for Ultra-Large MoE Models
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.
llama.cpp fork with additional SOTA quants and improved performance
Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
