Gemma 3 4B needs ~6.8 GB VRAM. RTX 2080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~56 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
56.0 tok/s
TTFT
3457 ms
Safe context
48K
Memory
6.8 GB / 11.0 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 | 56.0 tok/s | 1886 ms | 48K |
| Coding | A | Runs well | 56.0 tok/s | 3457 ms | 48K |
| Agentic Coding | A | Runs well | 56.0 tok/s | 5029 ms | 48K |
| Reasoning | A | Runs well | 56.0 tok/s | 4086 ms | 48K |
| RAG | A | Runs well | 56.0 tok/s | 6286 ms | 48K |
How Gemma 3 4B (4B params) fits at each quantization level on RTX 2080 Ti 11GB (11.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.6 GB | Low | B70 |
Q3_K_S | 3 | 2.0 GB | Low | A70 |
NVFP4 | 4 | 2.2 GB | Medium | A70 |
Q4_K_M | 4 | 2.4 GB | Medium | A71 |
Q5_K_M | 5 | 2.9 GB | High | A71 |
Q6_K | 6 | 3.3 GB | High | A72 |
Q8_0Best for your GPU | 8 | 4.3 GB | Very High | A73 |
F16 | 16 | 8.2 GB | Maximum | F0 |
Copy-paste commands to run Gemma 3 4B on your machine.
Run
ollama run gemma3:4bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 9B | S | 78.4 tok/s | ||
| 8B | S | 88.2 tok/s | ||
| 8B | S | 88.2 tok/s | ||
| 8B | S | 88.2 tok/s | ||
| 8B | A | 88.2 tok/s |
Yes, RTX 2080 Ti 11GB can run Gemma 3 4B with a A grade (Runs well). Expected decode speed: 56.0 tok/s.
Gemma 3 4B (4B parameters) requires approximately 6.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Gemma 3 4B is Q4_K_M, which balances quality and memory efficiency.
On RTX 2080 Ti 11GB, Gemma 3 4B achieves approximately 56.0 tokens per second decode speed with a time-to-first-token of 3457ms using Q4_K_M quantization.
For coding workloads, Gemma 3 4B on RTX 2080 Ti 11GB receives a A grade with 56.0 tok/s and 48K context.
On RTX 2080 Ti 11GB, Gemma 3 4B can safely use up to 48K 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-3-4b-on-rtx-2080-ti-11gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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