Ecosystem & Stack: hugging-face-transformers
stochasticai/xTuring
xTuring simplifies the process of fine-tuning and deploying open-source Large Language Models (LLMs) on private data, ensuring privacy, efficiency, and scalability.
lyogavin/airllm
Optimizes large language model inference to run 70B models on a single 4GB GPU without quantization, enabling efficient deployment on resource-constrained hardware.
wenge-research/YAYI
YaYi is an open-source Chinese Large Language Model, built on LLaMA 2 & BLOOM, designed for secure, reliable, and domain-specific applications through extensive instruction tuning.
OpenLMLab/MOSS-RLHF
An open-source framework providing code, models, and insights for stable Reinforcement Learning from Human Feedback (RLHF) training in Large Language Models, focusing on the PPO algorithm and reward modeling.
edwko/OuteTTS
A versatile interface for OuteTTS models, providing flexible text-to-speech generation capabilities across various AI inference backends and hardware platforms.