WordLlama is a utility for NLP and word embedding that repurposes components from large language models (LLMs) to generate efficient and compact word representations, similar to GloVe, Word2Vec, or FastText. It starts by extracting the token embedding codebook from a state-of-the-art LLM (e.g., LLaMA3 70B) and trains a small, context-free model within a general-purpose embedding […] The post WordLLama appeared first on Llama LLM.
