A latent text-to-image diffusion model

Google Research

Instruct-tune LLaMA on consumer hardware

Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Using Low-rank adaptation to quickly fine-tune diffusion models.

Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Notebooks using the Hugging Face libraries 🤗

MTEB: Massive Text Embedding Benchmark

骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.

Training and Fine-tuning an llm in Python and PyTorch.