Can Gemma 3 4B run on NVIDIA L20 48GB?
YES — Runs Great
Gemma 3 4B needs ~10.2 GB VRAM. NVIDIA L20 48GB has 48.0 GB. With Q4_K_M quantization, expect ~56 tok/s.
Operating mode
Choose the run profile you care about
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
64.0 tok/s
TTFT
3025 ms
Safe context
128K
Memory
10.2 GB / 48.0 GB
Memory breakdown
See how fast it feels
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 56.0 tok/s | 1886 ms | 128K |
| Coding | B | Runs well | 56.0 tok/s | 3457 ms | 128K |
| Agentic Coding | B | Runs well | 56.0 tok/s | 5029 ms | 128K |
| Reasoning | B | Runs well | 56.0 tok/s | 4086 ms | 128K |
| RAG | B | Runs well | 56.0 tok/s | 6286 ms | 128K |
Quantization options
How Gemma 3 4B (4B params) fits at each quantization level on NVIDIA L20 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.6 GB | Low | B63 |
Q3_K_S | 3 | 2.0 GB | Low | B63 |
NVFP4 | 4 | 2.2 GB | Medium | B63 |
Q4_K_M | 4 | 2.4 GB | Medium | B63 |
Q5_K_M | 5 | 2.9 GB | High | B63 |
Q6_K | 6 | 3.3 GB | High | B63 |
Q8_0 | 8 | 4.3 GB | Very High | B63 |
F16Best for your GPU | 16 | 8.2 GB | Maximum | B64 |
Get started
Copy-paste commands to run Gemma 3 4B on your machine.
Run
ollama run gemma3:4bFrequently asked questions
Can NVIDIA L20 48GB run Gemma 3 4B?
Yes, NVIDIA L20 48GB can run Gemma 3 4B with a B grade (Runs well). Expected decode speed: 56.0 tok/s.
How much VRAM does Gemma 3 4B need?
Gemma 3 4B (4B parameters) requires approximately 10.2 GB of memory with Q4_K_M quantization.
What is the best quantization for Gemma 3 4B?
The recommended quantization for Gemma 3 4B is Q4_K_M, which balances quality and memory efficiency.
What speed will Gemma 3 4B run at on NVIDIA L20 48GB?
On NVIDIA L20 48GB, 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.
Can NVIDIA L20 48GB run Gemma 3 4B for coding?
For coding workloads, Gemma 3 4B on NVIDIA L20 48GB receives a B grade with 56.0 tok/s and 128K context.
What context window can Gemma 3 4B use on NVIDIA L20 48GB?
On NVIDIA L20 48GB, Gemma 3 4B can safely use up to 128K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
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