Hugging Face Model Overview
ReadyArt/4.2.0-Broken-Tutu-24b is a 24 billion parameter language model resulting from a sophisticated merge of several pre-trained models. Developed by ReadyArt, this model leverages the DARE TIES merge method, utilizing TheDrummer/Cydonia-24B-v4.2.0 as its foundational base.
Merge Details
The model incorporates contributions from a diverse set of 24B parameter models, each weighted to optimize performance:
- Base Model: TheDrummer/Cydonia-24B-v4.2.0 (weighted at 0.3)
- Merged Models:
- ReadyArt/The-Omega-Directive-M-24B-v1.1 (weighted at 0.15)
- ReadyArt/Omega-Darker_The-Final-Directive-24B (weighted at 0.15)
- ReadyArt/Forgotten-Safeword-24B (weighted at 0.15)
- TroyDoesAI/BlackSheep-24B (weighted at 0.15)
This specific merging strategy aims to combine the strengths of these individual models, potentially leading to improved generalization and performance across various tasks. The model supports a substantial context length of 32768 tokens, enabling it to process and generate longer, more coherent texts.
Key Characteristics
- Parameter Count: 24 billion parameters.
- Context Length: 32768 tokens, suitable for complex, multi-turn conversations or detailed document analysis.
- Merge Method: Utilizes the DARE TIES method for combining model weights, a technique known for its effectiveness in creating robust merged models.
Potential Use Cases
Given its architecture and context window, this model is well-suited for applications requiring:
- Advanced text generation and comprehension.
- Handling long-form content, such as summarization of extensive documents or detailed creative writing.
- Tasks benefiting from the combined capabilities of its constituent models.