Gemma 3 4B needs ~6.0 GB VRAM. RX 5600 XT 6GB has 6.0 GB. With Q4_K_M quantization, expect ~36 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 with offload (needs ~0 GB host RAM)
Decode
36.4 tok/s
TTFT
5313 ms
Safe context
16K
Memory
6.0 GB / 6.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Tight fit | 48.8 tok/s | 2162 ms | 16K |
| Coding | A | Runs with offload (needs ~0 GB host RAM) | 36.4 tok/s | 5313 ms | 16K |
| Agentic Coding | F | Too heavy | 19.5 tok/s | 14423 ms | 16K |
| Reasoning | A | Runs with offload (needs ~0 GB host RAM) | 36.4 tok/s | 6279 ms | 16K |
| RAG | F | Too heavy | 19.5 tok/s | 18029 ms | 16K |
How Gemma 3 4B (4B params) fits at each quantization level on RX 5600 XT 6GB (6.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.6 GB | Low | A75 |
Q3_K_S | 3 | 2.0 GB | Low | A76 |
NVFP4 | 4 | 2.2 GB | Medium | A76 |
Q4_K_M | 4 | 2.4 GB | Medium | A76 |
Q5_K_M | 5 | 2.9 GB | High | A75 |
Q6_KBest for your GPU | 6 | 3.3 GB | High | A75 |
Q8_0 | 8 | 4.3 GB | Very High | F0 |
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 |
|---|---|---|---|---|
 Qwen 2.5 VL 7B | 7B | B | 23.2 tok/s | |
| Qwen 2.5 7B | 7B | B | 23.2 tok/s | |
 Codestral Mamba 7B | 7B | A | 27.7 tok/s | |
 Gemma 4 E2B | 5.1B | A | 39.7 tok/s |
Yes, RX 5600 XT 6GB can run Gemma 3 4B with a A grade (Runs with offload (needs ~0 GB host RAM)). Expected decode speed: 36.4 tok/s.
Gemma 3 4B (4B parameters) requires approximately 6.0 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 RX 5600 XT 6GB, Gemma 3 4B achieves approximately 36.4 tokens per second decode speed with a time-to-first-token of 5313ms using Q4_K_M quantization.
For coding workloads, Gemma 3 4B on RX 5600 XT 6GB receives a A grade with 36.4 tok/s and 16K context.
On RX 5600 XT 6GB, Gemma 3 4B can safely use up to 16K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/gemma-3-4b-on-rx-5600-xt-6gb" 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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