Theremino Ollama - Run locally Gemini, DeepSeek and others

Theremino Ollama LLM, advantages of having Gemini, DeepSeek and other artificial intelligence (AI) models in the Theremino Ollama environment on an IBM compatible PC with Windows10 or Windows11 for offline execution:

Main advantagesPrivacy and security, your data remains on your computer, safe from prying eyes and potential breaches.Independence from the internet connection.You can use the AI ​​models anytime and anywhere, even without an internet connection.Potentially higher speed and performance, but it depends a lot on the amount of memory and the speed and configuration of the processor. Running locally can be faster than using cloud services, especially for simple tasks.

CustomizationYou have complete control over the templates and can tailor them to your specific needs.Little or no cost: You don't have to pay for using cloud services or APIs.Specific benefits of Gemini and DeepSeek,

GeminiExcels at handling multiple input modalities (when on line) and offers advanced performance on complex tasks.

DeepSeekFocuses on efficiency and speed, making it particularly suitable for language processing tasks (NLP) such as translation and text generation.

Important hardware requirements considerationsLocal execution of AI models can require significant resources in terms of computing power (CPU and GPU), RAM and storage space.

Configuration and maintenanceSetting up and maintaining a local execution environment may require technical xpertise.

Model limitationsLocally executed models may be smaller in size and capacity than their cloud counterparts, resulting in poorer performance on some tasks.

In summaryHaving Gemini, Deep Search and other AI models in the Theremino environment Ollama offers many advantages, especially in terms of privacy, security, independence from the Internet connection and customization. However, it is important to consider the hardware requirements and potential limitations of local models.