Jordansky/liarsdice-smoketest-hashid
Jordansky/liarsdice-smoketest-hashid is a 3.2 billion parameter language model with a 32768 token context length. This model's specific architecture and training details are not provided in the available documentation. Its primary differentiator and intended use case are currently unspecified, as the model card indicates "More Information Needed" for most sections.
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Model Overview
This model, Jordansky/liarsdice-smoketest-hashid, is a language model with 3.2 billion parameters and a substantial 32768 token context length. However, detailed information regarding its architecture, training data, specific capabilities, and intended use cases is not available in the provided model card. Most sections, including model type, language(s), license, and development details, are marked as "More Information Needed."
Key Characteristics
- Parameter Count: 3.2 billion parameters.
- Context Length: 32768 tokens, suggesting potential for processing long sequences.
Current Status
As per the model card, comprehensive details on its development, training, evaluation, and specific applications are pending. Users are advised that further information is required to understand its direct use, downstream applications, and potential biases or limitations. Recommendations for use are currently limited due to the lack of detailed specifications.