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This repository contains the LoRA adapter weights from the fine-tuning of the Llama 3 (8B) model on patent documents. It is optimized for generating embeddings from patent texts. These embeddings are useful for tasks such as classification, clustering, and retrieval. The model leverages domain-specific training, using the second step of the llm2Vec approach (unsupervised contrastive learning), to capture the language of patents, offering high-quality representations for patent analysis.
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- PEFT 0.12.0
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meta-llama/Meta-Llama-3-8B-Instruct