Gemma 4 E2B It QAT Mobile Transformers
Google's Gemma 4 E2B It QAT Mobile Transformers.
Task Fit
Not marked for typed decisions in the current library.
Not marked for code agent in the current library.
Not marked for code in the current library.
General writing, Q&A, and assistant use.
Document QA benefits from long context and instruction following.
Image or visual understanding, not necessarily image generation.
Not marked for image generation in the current library.
Not marked for video generation in the current library.
Not marked for voice in the current library.
Evidence level
How this is assessed →Memory and hardware-fit values are planning estimates unless a tested report is linked.
Variants and Quant Artifacts
Choose the artifact first; hardware fit follows from RAM, VRAM, format, and runtime.
| Quant | Format | Quality | Min RAM | Reco RAM | Runtime | Action |
|---|---|---|---|---|---|---|
| Q4_K_M | gguf | balanced | 4GB | 8GB | llama.cpp, lm-studio | Plan with this |
| Q5_K_M | gguf | balanced | 4GB | 8GB | llama.cpp, lm-studio | Plan with this |
| Q8_0 | gguf | high | 8GB | 12GB | llama.cpp, lm-studio | Plan with this |
| FP16 | safetensors | high | 8GB | 12GB | transformers, vllm | Plan with this |
Recommended Hardware
Lowest estimated 5-year cost that can run this model.
Enough unified/system memory with a balanced 5-year cost.
Highest local performance signal among compatible hardware.
Benchmarks
No benchmark data is available for this model yet.
Sources and compatibility
Execution evidence
Run Gemma 4 E2B It QAT Mobile Transformers with a documented recipe
Recipes connect hardware, a model artifact, tools, settings, verification, and a reportable result.
No verified recipe is linked to this record yet.
Compatibility estimates remain available in the planner. A recipe appears here only after its exact stack and verification protocol are documented.
Similar Models
Google's official instruction-tuned Gemma 4 31B checkpoint with W4A16 quantization-aware compressed weights for text and image understanding. The published repository is downloadable; RAM and VRAM figures on this page remain runtime planning estimates.
Google's Gemma 4 12B It QAT W4a16 Ct.
Google's Gemma 4 E4B It QAT Q4 0 GGUF.