“training”

A method for training a Large Language Model (LLM) from scratch using Python.

GPU-optimized library for training transformer models at scale

Unsloth Studio is a web UI for training and running open models locally.

A Survey of Large Language Models

Machine Learning Engineering Open Book

Prompt. Generate Synthetic Data. Train & Align Models.

Agent Reinforcement Trainer

Align-Anything: Training All-modality Model with Feedback

OptiLLM is an OpenAI API-compatible optimizing inference proxy that enhances LLM accuracy and performance on reasoning tasks without needing to train or fine-tune models.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models

Chinese LLaMA & Alpaca大语言模型+本地CPU/GPU训练部署

Human-centric framework to build and manage AI/ML systems

Data processing for and with foundation models

Unified framework for scaling AI and Python applications

The absolute trainer to light up AI agents.

20+ high-performance LLMs with recipes to pretrain, finetune, and deploy at scale.

A large-scale pretraining language model.

Efficient implementations for emerging model architectures

Build a production-ready LLM & RAG system using LLMOps best practices

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

LLaMA-Omni is a speech interaction model built upon Llama-3.1-8B-Instruct, allowing for seamless low-latency speech-to-speech and speech-to-text interactions.