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

Open standard for machine learning interoperability

Tensorflow Backend for ONNX

No description.

Tutorials for creating and using ONNX models

InstructLab Training Library

Python library for Synthetic Data Generation

PyTorch tutorials.

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

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

Making large AI models cheaper, faster and more accessible

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Unofficial PyTorch and torchvision builds for ARM devices

Code repo for xCAT core packages