• Apple Intelligence in Microsoft Word

    At the 2025 Worldwide Developers Conference, Apple introduced its new Foundation Models framework, which gives app developers direct access to the on-device foundation language model at the core […] read more

  • GPT for Word. Complete offline and 100% Private. Use DeepSeek-R1-0528 or Phi-4 in Microsoft Word.

    If you’re interested in leveraging powerful GPT models within Microsoft Word while ensuring data privacy, consider exploring the DeepSeek-R1-0528 and Phi-4 series models through GPTLocalhost. You can watch […] read more

  • Register Your Device to Use GPTLocalhost Completely Offline

    In today’s digital age, safeguarding personal privacy is more important than ever. With GPTLocalhost, you can effortlessly run local LLMs directly within Microsoft Word. In contrast to most […] read more

Demo 1: Using AnythingLLM in Microsoft Word

 

Demo 2: Using LM Studio in Microsoft Word (local model: Llama 3.2)

 

Demo 3: Using Transformer Lab in Microsoft Word (local model: Phi-4)

 

Demo 4: Using Ollama in Microsoft Word (local model: Llama 3.2)

 

Demo 5: Using llama.cpp in Microsoft Word (local model: gemma-2b)

 

Demo 6: Using LocalAI in Microsoft Word (local model: Llama 3.2)

 

Demo 7: Using KoboldCpp in Microsoft Word (local model: mistral 2.2)

 

Demo 8: Using Xinference in Microsoft Word (local model: Llama 2)

 

Demo 9: Using OpenLLM in Microsoft Word (local model: llama3.2:1b)

 

Demo 10: Using LiteLLM in Microsoft Word (gemini-1.5-flash, if cloud-based model is preferred)

 

Demo 11: Empowering Your Team with Phi-4 in Microsoft Word within Your Intranet

 

Demo 12: Using Msty for Multiple LLMs in Microsoft Word

 

Demo 13: Using Microsoft Foundry Local for GPU and CPU in Microsoft Word