Open Source AI

Gemma 4 OSS multimodal edge/server + local setups

Gemma 4 OSS multimodal edge/server + local setups

Key Questions

What are the key specs and performance highlights of Gemma 4 12B?

Gemma 4 12B is available on Ollama with a Q4_K_M quantization at 7.6GB, fitting consumer GPUs. It outperforms Gemma 3 27B on reasoning and coding benchmarks and has reached 200M downloads in 2.5 months.

Are there efficient versions of Gemma 4 for mobile or low-resource devices?

Yes, QAT checkpoints are available, with the smallest down to 1GB for mobile and laptop efficiency. Fine-tuning has also been demonstrated on just 8GB VRAM.

What resources exist for building agents with Gemma 4?

A new tutorial shows how to turn Gemma 4 into a tool-using agent using Ollama and MCP. Multiple community tutorials and uncensored variants are also available.

Gemma 4 12B now available on Ollama with Q4_K_M quant at 7.6GB, fitting consumer GPUs; benchmarks show it crushes Gemma 3 27B on reasoning and coding. Hits 200M downloads in 2.5 months. QAT checkpoints (E2B down to 1GB) for mobile/laptop efficiency. Fine-tuning on 8GB VRAM demonstrated. New tutorial on turning Gemma 4 into tool-using agent with Ollama and MCP. Community adoption continues with multiple tutorials and uncensored abliterated variants.

Sources (1)
Updated Jul 3, 2026
What are the key specs and performance highlights of Gemma 4 12B? - Open Source AI | NBot | nbot.ai