Tag
#local-models
7 articles
Gemma 3 on Mac: Variants, Vision and Memory Limits
Gemma 3 on Apple Silicon: which Ollama variants support text and images, what package size fits, and why 128K context is not a RAM promise.
Gemma 4 on Mac: Variants, Modalities and Memory Planning
Gemma 4 on Mac: verified Q4 tags, memory planning and a reproducible Ollama API benchmark protocol with real token-per-second metrics.
Qwen3.6 auf dem Mac: 27B, 35B-A3B, Vision und Ollama
Qwen3.6 27B und 35B-A3B auf dem Mac: exakte Ollama-Tags, RAM-Reserve, lokale Vision mit Python, Kontext und überprüfbare API-Tests.
Qwen3.6 on Mac: 27B, 35B-A3B, Vision and Ollama
Run Qwen3.6 27B or 35B-A3B on Mac: exact Ollama tags, memory headroom, local vision with Python, context settings and measured API checks.
Best Open-Weight LLMs for Mac in 2026: RAM, Ollama Tags & Picks
Open-weight LLM picks for 8–64GB Macs: Gemma 4 for smaller systems, Qwen3.8-27B for 32GB+, Ollama tags, realistic memory margins and a fair speed test.
Ollama on Mac mini M4: local AI setup, memory limits and the cloud trap
Set up Ollama on a Mac mini M4 and pick the right models per RAM tier: Gemma 4 and Qwen for 16–64GB, local API, Open WebUI, context length and the cloud trap.
Mac mini M4 for Local AI in 2026: 16GB, 24GB or M4 Pro?
The Mac mini M4 with 24GB is the practical pick for local AI: 4B-8B models with headroom. 32GB opens 8B-14B, M4 Pro adds bandwidth. Check Activation Lock used.