Select a model by task

Match a built-in preset to the task. Start small; move up only if output quality does not meet your bar.

Quick picker

Your task Preset
General chat, mid-complexity tasks Qwen25Preset (7B)
Latest general-purpose model Qwen3Preset (8B)
Small footprint, fast, long context Llama32Preset (3B, 131K)
Smallest possible model Phi4Preset (mini)
Coding tasks DeepSeekCoder2Preset
Step-by-step reasoning DeepseekR1Qwen3Preset or Oss20Preset
Largest model, strongest reasoning Oss20Preset (20B)
Image understanding, small Qwen3VL2BPreset (2B)
Image understanding, mid Qwen25VL3BPreset (3B)
Text-heavy images (OCR-style) Gemma3VisionPreset
Strongest vision reasoning Ministral3VisionPreset (8B)

Decision tree

  1. Do you need vision (image input)?

    • Yes → pick a vision preset based on size and image type.
    • No → continue.

  2. Is the task coding?

    • Yes → DeepSeekCoder2Preset.
    • No → continue.

  3. Does the task require explicit step-by-step reasoning?

    • Yes → DeepseekR1Qwen3Preset or Oss20Preset (budget 1024-2048 MaxTokens).
    • No → continue.

  4. How much memory do you have?

    • 4-8 GB → Llama32Preset or Phi4Preset.
    • 12-16 GB → Qwen25Preset or Qwen3Preset.
    • 24+ GB → any preset; Oss20Preset for best quality.

After you pick

Override the default values where they do not fit your scenario. See Customizing presets.

If none of the built-ins fit, bring your own GGUF.

What’s next

Understand quantization