Gemma 4 E2B needs ~5.6 GB VRAM. GTX 1070 8GB has 8.0 GB. With Q4_K_M quantization, expect ~53 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
52.8 tok/s
TTFT
3667 ms
Safe context
87K
Memory
5.6 GB / 8.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 52.8 tok/s | 2000 ms | 87K |
| Coding | A | Runs well | 52.8 tok/s | 3667 ms | 87K |
| Agentic Coding | A | Runs well | 52.8 tok/s | 5333 ms | 87K |
| Reasoning | A | Runs well | 52.8 tok/s | 4333 ms | 87K |
| RAG | A | Runs well | 52.8 tok/s | 6667 ms | 87K |
How Gemma 4 E2B (5.099999904632568B params) fits at each quantization level on GTX 1070 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.0 GB | Low | A75 |
Q3_K_S | 3 | 2.5 GB | Low | A76 |
NVFP4 | 4 |
Copy-paste commands to run Gemma 4 E2B on your machine.
Run
ollama run gemma4:e2bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 8B | A | 18.4 tok/s | ||
| 8B | A | 19.5 tok/s |
Yes, GTX 1070 8GB can run Gemma 4 E2B with a A grade (Runs well). Expected decode speed: 52.8 tok/s.
Gemma 4 E2B (5.099999904632568B parameters) requires approximately 5.6 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 GTX 1070 8GB, Gemma 4 E2B achieves approximately 52.8 tokens per second decode speed with a time-to-first-token of 3667ms using Q4_K_M quantization.
For coding workloads, Gemma 4 E2B on GTX 1070 8GB receives a A grade with 52.8 tok/s and 87K context.
On GTX 1070 8GB, Gemma 4 E2B can safely use up to 87K 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-gtx-1070-8gb" 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 |
| A76 |
Q4_K_M | 4 | 3.1 GB | Medium | A77 |
Q5_K_M | 5 | 3.7 GB | High | A76 |
Q6_KBest for your GPU | 6 | 4.2 GB | High | A76 |
Q8_0 | 8 | 5.5 GB | Very High | F0 |
F16 | 16 | 10.5 GB | Maximum | F0 |
| 8B | A | 19.5 tok/s |
| 8B | B | 18.4 tok/s |
| 8B | B | 19.5 tok/s |