Efficient Triton Kernels for LLM Training
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🏗️ Fine-tune, build, and deploy open-source LLMs easily!
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.
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.
Go ahead and axolotl questions
llama.cpp fork with additional SOTA quants and improved performance
