# Potential Directions

## CPU Extraction Model Candidates (mem0 / openmemory)

Replacing `gemma3:1b` — documented JSON/structured output failures make it unreliable for mem0's extraction pipeline.

| Rank | Model | Size | CPU speed | JSON reliability | Notes |
|------|-------|------|-----------|-----------------|-------|
| 1 | `qwen2.5:1.5b` | ~934 MB | 25–40 tok/s | Excellent | Best fit: fast + structured output, 18T token training |
| 2 | `qwen2.5:3b` | ~1.9 GB | 15–25 tok/s | Excellent | Quality upgrade, same family |
| 3 | `llama3.2:3b` | ~2 GB | 15–25 tok/s | Good | Highest IFEval score (77.4) in class |
| 4 | `smollm2:1.7b` | ~1.1 GB | 25–35 tok/s | Moderate | Use temp=0; NuExtract-1.5-smol is fine-tuned variant |
| 5 | `phi4-mini` | ~2.5 GB | 10–17 tok/s | Good | Function calling support, borderline CPU speed |