Ollama vs Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac
Ollama
7.0Convenient tool for running LLMs locally but with limited ecosystem and performance
Full review →Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac
5.9Runs 26B Gemma on low‑RAM M‑series Macs—useful but hardware‑specific with average docs and uncertain long‑term support.
Full review →| Ollama | Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac | |
|---|---|---|
| Overall | 7 | 5.9 |
| Utility | 7 | 7 |
| Onboarding | 8 | 5 |
| Craft | 7 | 5 |
| Niche fit | 6 | 7 |
| Longevity | 7 | 5 |
Both scored on the same five-dimension rubric, so the numbers are comparable. A gap under 1 point is effectively a tie.
Which one
Ollama
Good for：Individual developers wanting quick local LLM experimentation
Not for：Teams needing production deployments or enterprise features
Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac
Good for：Developers who need offline inference of the 26B Gemma model and have an M‑series Mac
Not for：Teams without Mac hardware or those who don't require local LLM inference
On the overall score Ollama is 1.1 point(s) higher, but the fit lines above matter more than the number.