Yes, of course. There are several small and efficient AI models, known as SLMs (Small Language Models), specifically designed to run on regular computers without the need for specialized hardware.
The key to making this possible is a process called quantization , which reduces the model's size and the resources it needs to run, with very little performance loss. These models are commonly distributed in GGUF format and can be run with programs like Ollama or LM Studio . Here are some of the best options in 2026:
| Model | Parameters | RAM required | Specialty / Best for... | License |
|---|---|---|---|---|
| Phi-4-mini | 3.8B | ~3.5 GB | Ideal for basic and beginner PCs -4-6 | MIT |
| Gemma 3 | 1B / 4B | ~1-4 GB | Laptops, learning, and summaries -4 | Gemma (Google) |
| Qwen3 / 3.5 | 0.8B / 1.7B / 4B | ~0.5 - 4 GB | Multilingual and code generation -4-5-6 | Apache 2.0 |
| Call 3.3 | 8B | ~6 GB | General purpose and programming assistant -6 | Llama 3 Community |
| LittleLamb | 0.3B | < 2 GB | Very compact, bilingual (EN/ES), mobile devices -1-2 | Apache 2.0 |
A practical use case is the project fftext, which uses the Qwen3.5-0.8B model . This model only takes up about 500 MB and can run without a GPU for tasks such as summarizing, explaining, or translating texts directly from the terminal .5.
If your computer has 8 GB of RAM or less, I recommend starting with the Phi-4-mini or the smaller Qwen models (1.7B) . If you have 16 GB of RAM, you can use more capable models like the Llama 3.3 8B .4-6.
What are your computer's specifications (RAM and whether it has a dedicated graphics card)? Tell me and I'll recommend the best model for your needs.
