Gemma 4 31B needs ~39.1 GB VRAM. Radeon Pro W7900 48GB has 48.0 GB. With Q4_K_M quantization, expect ~19 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
20.4 tok/s
TTFT
9505 ms
Safe context
26K
Memory
39.1 GB / 48.0 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 | S | Runs well | 20.4 tok/s | 5185 ms | 26K |
| Coding | S | Runs well | 19.4 tok/s | 9981 ms | 26K |
| Agentic Coding | A | Very compromised (needs ~2 GB host RAM) | 12.1 tok/s | 23368 ms | 26K |
| Reasoning | S | Runs well | 20.4 tok/s | 11234 ms | 26K |
| RAG | A | Very compromised (needs ~2 GB host RAM) | 12.1 tok/s | 29210 ms |
How Gemma 4 31B (30.700000762939453B params) fits at each quantization level on Radeon Pro W7900 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.0 GB | Low | A80 |
Q3_K_S | 3 | 15.0 GB | Low | A81 |
NVFP4 | 4 |
Copy-paste commands to run Gemma 4 31B on your machine.
Run
ollama run gemma4:31bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 35B | S | 64.8 tok/s | ||
Yes, Radeon Pro W7900 48GB can run Gemma 4 31B with a S grade (Runs well). Expected decode speed: 19.4 tok/s.
Gemma 4 31B (30.700000762939453B parameters) requires approximately 39.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Gemma 4 31B is Q4_K_M, which balances quality and memory efficiency.
On Radeon Pro W7900 48GB, Gemma 4 31B achieves approximately 19.4 tokens per second decode speed with a time-to-first-token of 9981ms using Q4_K_M quantization.
For coding workloads, Gemma 4 31B on Radeon Pro W7900 48GB receives a S grade with 19.4 tok/s and 26K context.
On Radeon Pro W7900 48GB, Gemma 4 31B can safely use up to 26K tokens of context. The model's official context limit is 256K, 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-4-31b-on-radeon-pro-w7900-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| 26K |
17.2 GB |
| Medium |
| A82 |
Q4_K_M | 4 | 18.7 GB | Medium | A83 |
Q5_K_M | 5 | 22.1 GB | High | A84 |
Q6_K | 6 | 25.2 GB | High | A85 |
Q8_0Best for your GPU | 8 | 32.8 GB | Very High | A85 |
F16 | 16 | 62.9 GB | Maximum | F0 |
| 35B |
| S |
| 70.4 tok/s |
| 32B | S | 28.4 tok/s |
| 72B | A | 7.2 tok/s |
| 80B | A | 18.7 tok/s |