Local LLM model page
Gemma 4 E4B
Gemma 4 balanced edge model with strong multimodal quality and 256K context. Great for laptops and high-end mobile devices. Apache 2.0.
Parameters
E4B
Minimum RAM
8 GB
Model size
4.6 GB
Quantization
Q4_K_M
Can Gemma 4 E4B run locally?
Gemma 4 E4B is best suited for entry-level laptops and desktops. LocalClaw recommends Q4_K_M as the default quantization, with at least 8 GB RAM.
Search term for LM Studio or compatible runtimes: gemma-4-e4b-it
Hugging Face repository: google/gemma-4-E4B-it
chatvisionstandardmultimodalreasoninggeneral
Strengths
- Strong quality/speed balance
- 256K context
- Multimodal I/O support
- Good fit for laptops and compact workstations
Limitations
- Still below 26B/31B for advanced coding and deep reasoning
Best use cases
- General assistant
- Visual and audio understanding
- Long-context summaries
- Productivity copilots
Benchmarks
Speed: 8/10
Quality: 7/10
Coding: 6/10
Reasoning: 7/10
Technical details
Developer: Google DeepMind
License: Apache 2.0
Context window: 262,144 tokens
Architecture: Gemma 4 multimodal Transformer (balanced edge tier)
Released: 2026-03