Model benchmarks
Gemma4:E4B/QAT-MTP@131K local LLM performance
As of August 2026, Gemma4:E4B/QAT-MTP@131K runs at up to 347.5 tok/s for local inference (best of 2 community benchmark runs across 0 GPUs).
LM Studio
Model size
4B
Peak speed
347.5 tok/s
Average speed
303.9 tok/s
Min memory
1000 MB
Max context
4,782 tokens
Best quality
72.3
Benchmark runs
2
GPUs tested
0
Performance by hardware and tool
Every hardware/tool/quantization combination Gemma4:E4B/QAT-MTP@131K has been benchmarked on, ranked by peak token generation speed. Last updated August 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| CPU only | LM Studio | — | 347.5 tok/s | 303.9 tok/s | 1000 MB | 4,782 tokens | 61.8 | 2 |
Frequently asked questions
- How fast is Gemma4:E4B/QAT-MTP@131K for local inference?
- Across 2 community benchmark runs, Gemma4:E4B/QAT-MTP@131K reaches up to 347.5 tok/s and averages 303.9 tok/s.
- How much memory does Gemma4:E4B/QAT-MTP@131K need?
- The leanest observed configuration used about 1000 MB of memory.
- Which tools have been used to run Gemma4:E4B/QAT-MTP@131K?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.