~/model/huggingfacegoogle/gemma-4-E4B-it
Google provider

Gemma 4 E4B

Google's April 2026 small Gemma. Multimodal-ready, 128K context.

Parameters
4B
Family
Google
Context
128K tokens
FP16 weights
8.0GB
// where you can run it
OllamaLM StudiovLLMMLXoMLX
// hugging face stats (cached daily)
6.3M downloads · 1K likes · license: apache-2.0 · updated 3 days ago

What you need to run this.

$ ./vrambudget --model gemma-4-e4b --by quant
FP168.0 GB
RTX 3060 12GB12 GB · fitsRTX 3080 Ti12 GB · fitsRTX 407012 GB · fitsRTX 4070 Super12 GB · fits
Q8_04.3 GB
RTX 30708 GB · fitsRTX 40608 GB · fitsRTX 308010 GB · fitsRTX 3060 12GB12 GB · fits
Q6_K3.3 GB
RTX 30708 GB · fitsRTX 40608 GB · fitsRTX 308010 GB · fitsRTX 3060 12GB12 GB · fits
Q5_K_M2.8 GB
RTX 30708 GB · fitsRTX 40608 GB · fitsRTX 308010 GB · fitsRTX 3060 12GB12 GB · fits
Q4_K_M2.3 GB
RTX 30708 GB · fitsRTX 40608 GB · fitsRTX 308010 GB · fitsRTX 3060 12GB12 GB · fits

// budgets shown at ctx 8K, concurrency 1, 15% safety headroom. Tune in the calculator →

Alternatives at this size.

$ grep --params similar catalog.json
$ similarPhi-4 Mini3.8BMicrosoft$ similarLlama 3.2 3B3.21BMeta$ similarLlama 3.2 1B1.23BMeta$ similarQwen 2.5 7B7BAlibaba

Discussion.

$ gh discussion list

// sign in with github to leave a comment. threads live in the repo's discussions tab.