eekay/gemma-2b-it-noised-np0.1-attn-emb-s43
The eekay/gemma-2b-it-noised-np0.1-attn-emb-s43 model is a 2.5 billion parameter instruction-tuned language model based on the Gemma architecture. This model is shared by eekay and has a context length of 8192 tokens. It is a variant of the Gemma 2B instruction-tuned model, incorporating specific modifications indicated by "noised-np0.1-attn-emb-s43". Due to the lack of detailed information in its model card, its primary differentiators and specific use cases beyond general instruction following are not explicitly defined.
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Model Overview
The eekay/gemma-2b-it-noised-np0.1-attn-emb-s43 is a 2.5 billion parameter instruction-tuned model built upon the Gemma architecture. It features a context length of 8192 tokens. The model name suggests specific modifications, including "noised-np0.1-attn-emb-s43", which likely refers to particular training or architectural adjustments, though detailed information regarding these specifics is not provided in the current model card.
Key Characteristics
- Architecture: Based on the Gemma family of models.
- Parameter Count: 2.5 billion parameters, making it a relatively compact model suitable for various applications.
- Context Length: Supports an 8192-token context window, allowing for processing longer inputs and generating more extensive outputs.
- Instruction-Tuned: Designed to follow instructions effectively, making it suitable for conversational AI, question answering, and other prompt-based tasks.
Limitations and Further Information
The model card indicates that more information is needed across several critical sections, including its development details, specific training data, evaluation results, and intended use cases. Users should be aware that without these details, understanding the model's full capabilities, biases, risks, and optimal applications requires further investigation or experimentation. Recommendations for use are currently limited due to the lack of comprehensive documentation.