Why Run an LLM Locally?
Cloud AI services are convenient, but they require a constant internet connection, often come with a fee, and send your data to a server. A local large language model (LLM) on your smartphone solves these problems: it works offline, doesn't send data externally, and requires no monthly payment.
What You Need to Install
- A modern smartphone — preferably with 8 GB of RAM or more, as models take up several gigabytes.
- A client app — for example, LM Studio or Ollama (available on Android and iOS).
- A ready-made model — lightweight versions of Llama 3, Mistral, or Phi-3 (2–7 billion parameters) will work.
Step-by-Step Guide
1. Choose and Download a Model
On Hugging Face, find a quantized version of the model (e.g., llama-3-2-3b-it-q4_k_m.gguf). The file size is about 2–4 GB.
2. Install the App
Download LM Studio or Ollama from the official app store. Open the app and load the downloaded .gguf file.
3. Run the Model
Select the model in the interface and click "Load." After a few seconds, the model will be ready to use. You can ask questions, write code, translate text, and so on.
Performance and Limitations
Local LLMs run slower than cloud-based ones, especially on older devices. Response generation may take 5–15 seconds. Models with 3 billion parameters handle simple tasks but fall short of GPT-4 in complex reasoning. For most everyday needs (writing emails, explaining concepts, generating ideas), they are sufficient.
VirtCardPay's Conclusion
Local LLMs are a great way to maintain privacy and reduce dependence on the internet. They are already quite usable for ordinary tasks. Give them a try — you might be able to completely abandon cloud AI assistants.
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Sources
- https://www.makeuseof.com/i-put-a-local-llm-on-my-phone-and-stopped-needing-cloud-ai-for-most-tasks/
