RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
- gpt-2
- adaptation
- language-model
- gpt-3
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
DBMDZ BERT, DistilBERT, ELECTRA, GPT-2 and ConvBERT models
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.
- bart
- generation
- gpt-2
- language-model