The ruggsea/Llama70B-CoT-WSDM is a 70 billion parameter language model with a 32768 token context length. Developed by ruggsea, this model is based on the Llama architecture. Its specific differentiators and primary use cases are not detailed in the provided information, indicating a need for further documentation regarding its unique capabilities or fine-tuning objectives.
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Model Overview
The ruggsea/Llama70B-CoT-WSDM is a large language model with 70 billion parameters and a substantial context length of 32768 tokens. It is built upon the Llama architecture, as indicated by its naming convention. The model's specific development details, including its training data, fine-tuning objectives, and unique capabilities, are not provided in the current model card.
Key Characteristics
- Model Family: Llama-based architecture.
- Parameter Count: 70 billion parameters, suggesting strong general language understanding and generation capabilities.
- Context Length: 32768 tokens, enabling the processing of extensive inputs and maintaining coherence over long conversations or documents.
Current Status
As of the provided documentation, detailed information regarding the model's intended uses, performance benchmarks, training procedures, and specific differentiators from other Llama-based models is marked as "More Information Needed." Users are encouraged to seek further documentation for insights into its optimal applications and limitations.