Paper
LLMs & Texto
Toward Open Weight Models Without Risks: Separating Public and Private Capabilities in LLMs
Tiered Language Models (TLMs) provide a framework for releasing large language models with configurable capability levels through secret keys that modify computation graphs while m…
Hugging Face · Daily Papers
·Charbel El Feghali, Arkil Patel
·
·▲ 1 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Charbel El Feghali, Arkil Patel, Nicholas Meade, Spandana Gella, Verna Dankers, Siva Reddy
- 1 upvotes da comunidade
- Temas: Tiered Language Models, secret key, parameter subset, computation graph, pretraining, fine-tuning
Resumo
Resumo original (em inglês), extraído do paper:
Tiered Language Models (TLMs) provide a framework for releasing large language models with configurable capability levels through secret keys that modify computation graphs while maintaining public model integrity.
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