LLM and NLP Model Adaptation
12 repos
Libraries, frameworks, and implementations for adapting and fine-tuning large language models and NLP systems. The cluster covers parameter-efficient adaptation techniques (like adapter modules), domain-specific model variants (including Chinese-language LLaMA implementations), and end-to-end NLP platforms that integrate BERT, Transformer, and LLM architectures. These repositories emphasize practical tools for researchers and practitioners to customize pre-trained models for specific tasks and languages without full retraining.
Python · 9
Jupyter Notebook · 2
Scala · 1
bert ·37,459
nlp ·37,459
transformers ·28,604
llama ·24,210
llm ·19,758
question-answering ·17,972
sentiment-analysis ·17,131
pretrained-models ·15,158
compression ·14,171
neural-search ·13,711
