🌌 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
karcher merge 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.