YuxinJiang/lion-7b
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:May 25, 2023License:mitArchitecture:Transformer0.0K Open Weights Cold
YuxinJiang/lion-7b is a 7 billion parameter language model developed by YuxinJiang, based on the LLaMA architecture. This model is a result of adversarial distillation, a technique designed to transfer knowledge from larger, proprietary models. It is primarily intended for research into efficient model training and knowledge distillation from black-box LLMs.
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Overview
YuxinJiang/lion-7b is a 7 billion parameter language model derived from the LLaMA architecture. Developed by YuxinJiang, this model was created using a novel technique called adversarial distillation. This method focuses on transferring knowledge from larger, proprietary language models, even when direct access to their internal workings is limited.
Key Capabilities
- Adversarial Distillation: Utilizes a unique approach to distill knowledge from black-box proprietary LLMs, making it distinct from traditional distillation methods.
- LLaMA-based Architecture: Built upon the LLaMA foundation, inheriting its general language understanding and generation capabilities.
- Research Focus: Primarily serves as a research artifact demonstrating the effectiveness of adversarial distillation as detailed in the associated EMNLP 2023 paper.
Good For
- Research in Model Distillation: Ideal for researchers exploring advanced techniques for compressing and transferring knowledge from large language models.
- Understanding Adversarial Training: Provides a practical example of adversarial methods applied to model distillation.
- Efficient LLM Development: Offers insights into creating smaller, more efficient models by leveraging the capabilities of larger, inaccessible ones.