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title: Top 7 Small Language Models You Can Run on a Laptop
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# Top 7 Small Language Models You Can Run on a Laptop

**[Machine Learning Mastery](https://daily.dev/sources/mlm)** · 8 min read · 3 upvotes · 0 comments

## Summary

Seven small language models (1B-9B parameters) can run locally on consumer laptops. Phi-3.5 Mini excels at long-context RAG tasks, Llama 3.2 3B offers balanced general-purpose performance, Llama 3.2 1B fits mobile devices, Ministral 3 8B delivers strong edge performance, Qwen 2.5 7B specializes in code generation, Gemma 2 9B provides maximum quality with safety features, and SmolLM2 1.7B enables rapid prototyping. Each model includes specific hardware requirements (4-24GB RAM depending on quantization), download instructions via Hugging Face or Ollama, and recommended use cases ranging from document processing to mobile deployment.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://machinelearningmastery.com/top-7-small-language-models-you-can-run-on-a-laptop/>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#llm](https://daily.dev/tags/llm), [#rag](https://daily.dev/tags/rag), [#ollama](https://daily.dev/tags/ollama)

[View this post on daily.dev](https://daily.dev/posts/top-7-small-language-models-you-can-run-on-a-laptop-uggt1hdi5)

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