Red Hat Enterprise Linux (RHEL) CI for PyTorch — builds and tests PyTorch on RHEL 9.6 via CRCR dispatch

vLLM plugin for Spyre based on torch-spyre

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A high-throughput and memory-efficient inference and serving engine for LLMs

copy of https://github.com/torch-spyre/torch-spyre for testing github actions

Code for the EMNLP2024 main paper "Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models"

🚀 Collection of libraries used with fms-hf-tuning to accelerate fine-tuning and training of large models.

Tuning scripts using Hugging Face `SFTTrainer`

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Train transformer language models with reinforcement learning.

Mamba SSM architecture

Source code for Activated LoRA

Scan resources consumed during LLM training

InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.

fms-hf-tuning backend

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Move2Kube is a command-line tool that accelerates the process of re-platforming to Kubernetes/Openshift.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

👩🏿‍🎓👨🏽‍🎓👩🏻‍🎓CNCF Mentoring + CommunityBridge + Summer of Code

Repository for storing Move2Kube custom transformers