DeepSeek-V3 is a powerful Mixture-of-Experts (MoE) language model with 671 billion total parameters and 37 billion activated parameters per token. It achieves efficient inference and cost-effective training through innovative load balancing strategies and multi-token prediction training objectives. The model is pre-trained on 14.8 trillion diverse and high-quality tokens, and it outperforms other open-source models in various benchmarks.
DeepSeek-V3 is a cutting-edge AI model that has achieved a notable breakthrough in inference speed, making it one of the fastest models available. It excels in multiple benchmarks, including language understanding, code generation, and mathematical problem-solving. DeepSeek's architecture, which includes Mixture of Experts (MoE), allows it to activate a subset of parameters efficiently, enhancing its performance while maintaining a large total parameter count. This model is designed to provide high accuracy and efficiency, making it suitable for a wide range of applications.
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Ollama is a platform for running large language models like Llama 3.3, Phi 3, Mistral, Gemma 2, and more. It allows users to customize and create their own models. Get up and running with large language models Locally.
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