yamatazen/Himeyuri-Magnum-12B-HereticLoRA
yamatazen/Himeyuri-Magnum-12B-HereticLoRA is a 12 billion parameter ChatML model created by yamatazen, merged using the Model Stock method with Elizezen/Himeyuri-v0.1-12B as its base. This model integrates components from anthracite-org/magnum-v2-12b and anthracite-org/magnum-v2.5-12b-kto, offering a combined capability for conversational AI tasks. It is designed for applications requiring a robust 12B parameter language model with a 32768 token context length.
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Model Overview
yamatazen/Himeyuri-Magnum-12B-HereticLoRA is a 12 billion parameter language model, specifically configured as a ChatML model. It was developed by yamatazen through a sophisticated merging process using mergekit and the Model Stock merge method.
Key Characteristics
- Base Model: The foundation of this model is Elizezen/Himeyuri-v0.1-12B.
- Merged Components: It incorporates capabilities from two distinct models:
- Merge Method: Utilizes the Model Stock method, ensuring a structured integration of the merged models.
- Data Type: The model was processed using
bfloat16for efficiency. - Context Length: Supports a substantial context window of 32768 tokens.
Intended Use Cases
This model is well-suited for conversational AI applications due to its ChatML format. Its merged architecture suggests a blend of capabilities from its constituent models, making it potentially versatile for various text generation and understanding tasks where a 12B parameter model with a large context window is beneficial.