Naphula/Riemannian-Redshift-12B-v1
Naphula/Riemannian-Redshift-12B-v1 is a 12 billion parameter language model created by Naphula using an experimental karcher merge of ten high-quality Vortex5 base models. This merge method, utilizing float32 precision and 1000 iterations, aims to combine the best characteristics of its constituent models. It is designed for general language tasks and requires the Mistral Tekken chat template for optimal performance.
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🌌 Riemannian Redshift 12B v1
Riemannian-Redshift-12B-v1 is a 12 billion parameter language model developed by Naphula, created through an experimental karcher merge of ten distinct high-quality models from the Vortex5 collection. This merge process, executed with float32 precision and max_iter: 1000, leverages the Karcher Mean method to identify and combine optimal model parameters.
Key Capabilities
- Advanced Merging Technique: Utilizes the
karchermerge method, an experimental approach designed to find the "Riemannian center" of multiple models, potentially yielding a more robust and balanced merged model. - Diverse Foundation: Built upon a diverse set of ten 12B parameter models from Vortex5, including Maroon-Sunset, Azure-Starlight, Scarlet-Seraph, and others, aiming to inherit a broad range of capabilities.
- Optimized Merge Process: The merge was performed with high precision (
float32) and a significant number of iterations (1000) to ensure a thorough and effective combination of the base models.
Good for
- General Language Tasks: Suitable for a wide array of natural language processing applications, benefiting from the combined strengths of its diverse base models.
- Exploration of Merged Models: Ideal for users interested in models created with advanced merging techniques like the Karcher Mean, offering a unique blend of characteristics.
- Mistral Tekken Chat Template Users: Specifically designed to work with the Mistral Tekken chat template, ensuring proper interaction and response generation.