elevateecho/sn120-27e2f083b355
The elevateecho/sn120-27e2f083b355 is a 35.1 billion parameter language model, derived from a LoRA-merged checkpoint of kevin954/Affine-5dfqbbh8ev-sft. This model is developed by elevateecho and features a 32768 token context length. It is intended for internal use, specifically for private TTL insurance applications, and is not yet cleared for public submission.
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Model Overview
The elevateecho/sn120-27e2f083b355 is a substantial language model with 35.1 billion parameters and a 32768 token context length. It originates from a LoRA-merged checkpoint of kevin954/Affine-5dfqbbh8ev-sft.
Key Characteristics
- Architecture: LoRA-merged checkpoint, indicating fine-tuning or adaptation from a base model.
- Parameter Count: 35.1 billion parameters, suggesting strong capabilities for complex language tasks.
- Context Length: A generous 32768 tokens, enabling the processing of extensive inputs and maintaining long-range coherence.
Intended Use
This model is currently designated for private TTL insurance applications. It is explicitly noted as an internal project, not yet cleared for public release or general use, pending a "Stage-5 gate clears" process. Developers should be aware of its specific, internal-facing purpose.