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