Start with what you want the model to do—not the biggest download or the highest benchmark score.
The useful choice is a model that handles your work, fits your computer, and allows your intended use. These three examples show some differences worth checking before you download.
These are contrasting examples—not a ranked shortlist or a claim that they are the latest releases.
If you mainly want rewriting, summaries, or conversation, start by evaluating a text model. Image support only becomes useful when you need to ask about screenshots, pictures, or other visual material.
Gemma 3 4B illustrates that distinction: it accepts images and produces text. That is image understanding—not image generation. Your chosen app also needs to support the model’s image input.
Qwen3 8B offers thinking and non-thinking modes. That gives you another option to explore for involved questions, but it doesn’t establish that thinking mode is better for every task.
Keep the choice narrow: identify the capability you need, then check whether the exact model and app combination provides it. If you’re still choosing an app, our offline AI chatbot guide is the starting point.
Open Llama 3.2 3B, Gemma 3 4B, and Qwen3 8B to review their documented capabilities, access options, and limitations before choosing a download.
Numbers such as 3B or 8B describe approximate parameter counts—not a promise about gigabytes of memory. Download format, conversation length, and how the app runs the model also affect resource needs.
You may see “quantized” versions: compressed representations that can reduce storage and memory requirements, sometimes with quality trade-offs. Compare the exact download, not just the model family.
Before committing, check:
Compatibility: does your app support that version and the features you need?
Memory: what does the provider or runtime say about the selected download?
Licensing: are your intended uses allowed?
The Llama model card, Gemma model card, and Qwen3-8B model card describe different capabilities and terms. Don’t assume one model’s permissions apply to another.
Try a small, familiar task: summarize a passage, rewrite a paragraph, or explain an image you can inspect yourself.
If it struggles, identify the problem before reaching for a larger model. Was the answer wrong, a feature unsupported, or the response too slow?
For the next step, our local LLM guide explains how models, runners, and chat interfaces fit together.
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