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@@ -145,12 +145,15 @@ The 32B model needs a GPU with 24GB+ VRAM.
 Deepseek R1 excels at reasoning and tool use for its size. We think it’s a solid fit for our needs—other models work fine, but Deepseek is our primary pick.
 
 **Q: I get an error running `main.py`. What do I do?**  
+
 Ensure Ollama is running (`ollama serve`), your `config.ini` matches your provider, and dependencies are installed. If none work feel free to raise an issue.
 
 **Q: Can it really run 100% locally?**  
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 Yes with Ollama or Server providers, all speech to text, LLM and text to speech model run locally. Non-local options (OpenAI, Deepseek API) are optional.
 
 **Q: How can it is older than manus ?**
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 we started this a fun side project to make a fully local, Jarvis-like AI. However, with the rise of Manus and openManus, we saw the opportunity to redirected some tasks priority to make yet another alternative.
 
 **Q: How is it better than manus or openManus ?**