Adds memory headroom for longer context windows and future model growth.
~$6,999 MSRP
Gemma 4 E2B needs ~17.3 GB VRAM. AMD Instinct MI250X 128GB has 128.0 GB. With Q4_K_M quantization, expect ~71 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
71.4 tok/s
TTFT
2711 ms
Safe context
128K
Memory
17.3 GB / 128.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 71.4 tok/s | 1479 ms | 128K |
| Coding | B | Runs well | 71.4 tok/s | 2711 ms | 128K |
| Agentic Coding | B | Runs well | 71.4 tok/s | 3944 ms | 128K |
| Reasoning | B | Runs well | 71.4 tok/s | 3204 ms | 128K |
| RAG | B | Runs well | 71.4 tok/s | 4930 ms | 128K |
How Gemma 4 E2B (5.099999904632568B params) fits at each quantization level on AMD Instinct MI250X 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.0 GB | Low | B61 |
Q3_K_S | 3 | 2.5 GB | Low | B61 |
NVFP4 | 4 |
Copy-paste commands to run Gemma 4 E2B on your machine.
Run
ollama run gemma4:e2bUpgrade options
Yes, AMD Instinct MI250X 128GB can run Gemma 4 E2B with a B grade (Runs well). Expected decode speed: 71.4 tok/s.
Gemma 4 E2B (5.099999904632568B parameters) requires approximately 17.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Gemma 4 E2B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI250X 128GB, Gemma 4 E2B achieves approximately 71.4 tokens per second decode speed with a time-to-first-token of 2711ms using Q4_K_M quantization.
For coding workloads, Gemma 4 E2B on AMD Instinct MI250X 128GB receives a B grade with 71.4 tok/s and 128K context.
On AMD Instinct MI250X 128GB, Gemma 4 E2B can safely use up to 128K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/gemma-4-e2b-on-instinct-mi250x-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
2.9 GB |
| Medium |
| B61 |
Q4_K_M | 4 | 3.1 GB | Medium | B61 |
Q5_K_M | 5 | 3.7 GB | High | B61 |
Q6_K | 6 | 4.2 GB | High | B61 |
Q8_0 | 8 | 5.5 GB | Very High | B61 |
F16Best for your GPU | 16 | 10.5 GB | Maximum | B61 |