Gemma 3 12B needs ~16.6 GB VRAM. AMD Instinct MI100 32GB has 32.0 GB. With Q4_K_M quantization, expect ~109 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
114.5 tok/s
TTFT
1691 ms
Safe context
66K
Memory
16.6 GB / 32.0 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 | A | Runs well | 114.5 tok/s | 922 ms | 66K |
| Coding | A | Runs well | 109.0 tok/s | 1775 ms | 66K |
| Agentic Coding | S | Runs well | 114.5 tok/s | 2459 ms | 66K |
| Reasoning | A | Runs well | 114.5 tok/s | 1998 ms | 66K |
| RAG | S | Runs well | 114.5 tok/s | 3074 ms | 66K |
How Gemma 3 12B (12B params) fits at each quantization level on AMD Instinct MI100 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.7 GB | Low | A73 |
Q3_K_S | 3 | 5.9 GB | Low | A74 |
NVFP4 | 4 |
Copy-paste commands to run Gemma 3 12B on your machine.
Run
ollama run gemma3:12bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 120.7 tok/s | ||
| 27B | S | 52.3 tok/s |
Yes, AMD Instinct MI100 32GB can run Gemma 3 12B with a A grade (Runs well). Expected decode speed: 109.0 tok/s.
Gemma 3 12B (12B parameters) requires approximately 16.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Gemma 3 12B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI100 32GB, Gemma 3 12B achieves approximately 109.0 tokens per second decode speed with a time-to-first-token of 1775ms using Q4_K_M quantization.
For coding workloads, Gemma 3 12B on AMD Instinct MI100 32GB receives a A grade with 109.0 tok/s and 66K context.
On AMD Instinct MI100 32GB, Gemma 3 12B can safely use up to 66K tokens of context. The model's official context limit is 131K, 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-3-12b-on-instinct-mi100-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
6.7 GB |
| Medium |
| A74 |
Q4_K_M | 4 | 7.3 GB | Medium | A74 |
Q5_K_M | 5 | 8.6 GB | High | A75 |
Q6_K | 6 | 9.8 GB | High | A75 |
Q8_0 | 8 | 12.8 GB | Very High | A77 |
F16Best for your GPU | 16 | 24.6 GB | Maximum | A78 |
| 27B | S | 52.5 tok/s |
| 35B | S | 101.4 tok/s |
| 30B | S | 124.8 tok/s |