Top 10 Open Source AI Models Worth Knowing

## Frequently Asked Questions

Which model on this list runs on the least VRAM? Mistral 7B, at under 4GB of VRAM, is the lightest option listed and also offers the fastest inference among the entries.

Do I need a paid API to use these models? No. Every model in the list is open-weight and can be pulled locally with Ollama (for example, `ollama pull mistral`) or loaded via HuggingFace Transformers.

How long does fine-tuning take? The intro states these models can be fine-tuned in roughly 24–48 hours on typical consumer or prosumer hardware.

Which entry is best for reasoning tasks? DeepSeek R1 is highlighted as the leader for reasoning among the open-weight models covered here.

Which entry is best for instruction-following on a single consumer GPU? Meta Llama 3, especially the 70B parameter variant, is noted for instruction-tuning performance on consumer GPUs.

What sizes are available for Qwen 2.5? Qwen 2.5 ships in sizes from 0.5B up to 72B parameters, covering edge devices through server-class deployments.