DeepSeek-V2 is making waves in the world of language models, and for good reason. This Mixture-of-Experts (MoE) model stands out for its potent performance, economical training, and efficient inference. Now available on Ollama, it's easier than ever to harness the power of this bilingual (English and Chinese) model.
DeepSeek-V2 is a cutting-edge language model built with a Mixture-of-Experts architecture. MoE allows the model to activate different "expert" networks for different tasks. This results in a more efficient model since not all parameters are used for every task. This design leads to several key benefits:
Ollama makes running language models locally a breeze. DeepSeek-V2 is no exception. Here's how to get started:
Ensure you have Ollama installed: If you haven't already, download and install Ollama from the official website. Note that DeepSeek-V2 requires Ollama version 0.1.40 or higher. Check the release notes for more information.
Run DeepSeek-V2: Choose the version that suits your needs and use the corresponding command:
ollama run deepseek-v2:16b (8.9GB)ollama run deepseek-v2:236b (133GB)Ollama will automatically download the model and get it running. You can then start interacting with DeepSeek-V2 directly from your terminal!
DeepSeek-V2 features a configuration primed for conversational tasks. The params section in the model configuration includes the following stop words: "User:", "Assistant:". These help to demarcate turns in a dialogue.
The template section sets the scene for how prompts are to be formatted. Here's an example of the template string:
{{ if .System }}{{ .System }} {{ end }}{{ if .Prompt }}User: {{ .Prompt }} {{ end }}Assistant:{{ .
The template allows for the setting of a system message that sets the grounding for the model, before the model will begin following user prompts.
DeepSeek-V2 comes in two sizes, each offering a different balance of performance and resource requirements.
DeepSeek-V2 16B Lite: This version is designed for users with limited resources. It offers a good balance of performance and speed, making it suitable for everyday tasks and experimentation.
DeepSeek-V2 236B: This is the full-sized model, offering the best possible performance. It requires significant computational resources but delivers superior results on complex tasks.
DeepSeek-V2 represents a significant advancement in language model technology, offering a powerful and efficient solution for a wide range of applications. Its availability on Ollama makes it accessible to developers and researchers. Whether you're looking for a fast and efficient model for everyday tasks or top-of-the-line performance for complex projects, DeepSeek-V2 is worth exploring.
