Large Language Models and Text Generation
28 repos
Libraries, models, and infrastructure for building and deploying large language models (LLMs) with a focus on transformer-based architectures and efficient text generation. The cluster centers on the BLOOM model family across multiple scales (1B to 7B parameters) and related tooling for model serialization (safetensors), inference optimization (text-generation-inference), and PyTorch-based implementations. Repositories here provide both the model weights and the underlying frameworks needed to understand, fine-tune, and serve modern language models at various scales.
transformers ·3,629
en ·3,597
es ·3,407
fr ·3,407
pt ·3,355
hi ·2,962
zh ·2,787
ar ·2,735
vi ·2,735
text-generation ·2,711
