Overview

AiMaven-Merkaba-2.0 is an experimental 7 billion parameter language model developed by Jeffery Lovely. As an experimental model, many of its core details regarding architecture, training data, and specific performance metrics are currently undefined or require more information. It is shared as a base template for new models, indicating its developmental status.

Key Characteristics

• Developer: Jeffery Lovely
• Parameter Count: 7 billion
• Context Length: 4096 tokens
• Status: Experimental model, with many details pending.

Intended Use

The model is designated for "Direct Use," though specific applications are not yet detailed. Users are advised that it is an experimental model and should be aware of potential biases, risks, and limitations, as further information is needed for comprehensive recommendations. Details on downstream use cases, training procedures, and evaluation results are currently marked as "More Information Needed" in its model card.