Gemma 4 E2BQ4_K_M
requires 7 GB+ memory · 33K context · Laptop
3.1 GBWeights
← All models4K 3.9 GB 8K 4.1 GB 16K 4.4 GB 33K 4.6 GB
Gemma 4
Google’s most capable open models for mobile and IoT. Audio and vision for real-time edge processing, with near-zero latency on phones, Raspberry Pi, and Jetson-class boards, offline, on your silicon.
- Maker
- Architecture
- Multimodal · audio + vision · edge
- Fits from
- Laptop · 7 GB+ RAM
- Context
- up to 33K
- Runs
- Local Intelligence
VisionAudioEdgeMultilingualPhones & IoTRealtime visionAudio + text
Sizes
Gemma 4 E4BQ4_K_M
requires 10 GB+ memory · 33K context · Laptop
5 GBWeights
Memory at context length
Approximate working set for Gemma 4 E2B as context grows.