GitHub - ghimiresunil/LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing: LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

Apple announces LLM in a flash: Efficient Large Language Model Inference with Limited Memory paper page: https://huggingface.co/papers/2312.11514... See more

Mistral-finetune

mistral-finetune is a light-weight codebase that enables memory-efficient and performant finetuning of Mistral's models. It is based on LoRA, a training paradigm where most weights are frozen and only 1-2% additional weights in the form of low-rank matrix perturbations are trained.

For maximum efficiency it is recommended to use a A... See more

⚡ LitGPT

Pretrain, finetune, evaluate, and deploy 20+ LLMs on your own data

Uses the latest state-of-the-art techniques:

✅ flash attention ✅ fp4/8/16/32 ✅ LoRA, QLoRA, Adapter (v1, v2) ✅ FSDP ✅ 1-1000+ GPUs/TPUs

Lightning AI • Models • Quick start • Inference • Finetune • Pretrain • Deploy • Features • Training recipes (YAML)

Finetune, pretrain and d... See more