Qwen2.5 Hits 32GB Mac Sweet Spot

Qwen looks like the safest one-model bet here: it spans multiple sizes, has strong general chat performance, and its 32B quantized builds are small enough to be realistic on 32GB unified memory. If the goal is versatility rather than benchmark chasing, that usually beats over-optimizing for raw reasoning.

• –Qwen2.5 ships in 7B, 14B, 32B, and larger variants, so you can choose a size that matches your latency budget without changing ecosystems
• –The 32B GGUF quant at `Q4_K_M` is about 19.9 GB, which is a workable fit on a 32GB Mac if you keep context and background apps under control
• –DeepSeek-R1-Distill-Qwen-32B is the stronger pick for deliberate reasoning, but it is less of a general-purpose daily driver than a chat-tuned Qwen instruct model
• –Gemma 2 peaks at 27B, which makes it viable locally, but it is more of a compact assistant than a best-of-both-worlds personal-agent base
• –If responsiveness matters more than raw quality, a 9B or 14B model will feel much better for interactive agent loops than pushing a 32B model at the edge of memory