farisskhairy/Tenser
farisskhairy/Tenser is a 2.6 billion parameter language model developed by farisskhairy. This model is a general-purpose language model with an 8192 token context length. Further details regarding its architecture, training, and specific optimizations are not provided in the available model card. It is intended for direct use in various natural language processing tasks.
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Overview
farisskhairy/Tenser is a 2.6 billion parameter language model. The provided model card indicates it is a general-purpose model, but specific details regarding its architecture, training data, or unique capabilities are not available. It supports an 8192 token context length.
Key Characteristics
- Parameter Count: 2.6 billion parameters.
- Context Length: Supports an 8192 token context window.
- Developer: Developed by farisskhairy.
Intended Use Cases
Due to the lack of specific information, this model is broadly intended for direct use in various natural language processing applications where a 2.6B parameter model with an 8192 token context length is suitable. Users should be aware that detailed performance metrics, training specifics, and potential biases are not documented in the current model card.