CognitiveFusion2 4x7B BF16 Back and better than ever. GGUF FILES Join our Discord! This is an update to the original Cognitive Fusion. We intend to perform a fine tune on it in order to increase its performance. Made cooperatively with NeuralNovel 🤝 Base Models automerger/YamshadowExperiment28 7B base automerger/YamshadowExperiment28 7B expert 1 liminerity/M7 7b expert 2 automerger/YamshadowExperiment28 7B expert 3 nlpguy/T3QM7 expert 4 "What is a Mixture of Experts (MoE)?" (from the MistralAI papers...click the quoted question above to navigate to it directly.) The scale of a model is one of the most important axes for better model quality. Given a fixed computing budget, training a larger model for fewer steps is better than training a smaller model for more steps. Mixture of Experts enable models to be pretrained with far less compute, which means you can dramatically scale up the model or dataset size with the same compute budget as a dense model. In particular, a MoE model should achieve the same quality as its dense counterpart much faster during pretraining. So, what exactly is a MoE? In the context of transformer models, a MoE consists of two main elements: Sparse MoE laye…
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