Apaokagi/skyline-mini-v11
Apaokagi/skyline-mini-v11 is a 1.5 billion parameter language model developed by Apaokagi. This model features a context length of 32768 tokens. Further details regarding its architecture, training, and specific optimizations are currently marked as 'More Information Needed' in its model card.
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Model Overview
Apaokagi/skyline-mini-v11 is a 1.5 billion parameter language model. The model card indicates a context length of 32768 tokens, suggesting its capability to process relatively long sequences of text.
Key Characteristics
- Parameter Count: 1.5 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
Current Status and Limitations
As per the provided model card, significant details regarding this model are currently pending:
- Developer and Funding: Information on the specific developer and funding sources is marked as "More Information Needed."
- Model Type and Language: The exact model architecture type and the primary language(s) it supports are not yet specified.
- Training Details: Comprehensive information about its training data, procedures, hyperparameters, and evaluation results is awaiting further updates.
- Intended Use Cases: Specific direct and downstream use cases, as well as out-of-scope uses, are not detailed.
Recommendations
Users are advised to be aware that the model's risks, biases, and limitations are not yet fully documented. Further recommendations will be provided once more information becomes available from the model developers.