gemma 3 12b it needs ~12.8 GB VRAM. AMD Instinct MI60 32GB has 32.0 GB. With Q4_K_M quantization, expect ~69 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
68.5 tok/s
TTFT
2824 ms
Safe context
234K
Memory
12.8 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 | C | Runs well | 68.5 tok/s | 1541 ms | 234K |
| Coding | C | Runs well | 68.5 tok/s | 2824 ms | 234K |
| Agentic Coding | C | Runs well | 68.5 tok/s | 4108 ms | 234K |
| Reasoning | C | Runs well | 68.5 tok/s | 3338 ms | 234K |
| RAG | C | Runs well | 68.5 tok/s | 5135 ms | 234K |
How gemma 3 12b it (12B params) fits at each quantization level on AMD Instinct MI60 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.7 GB | Low | C44 |
Q3_K_S | 3 | 5.9 GB | Low | C44 |
NVFP4 | 4 |
Copy-paste commands to run gemma 3 12b it on your machine.
Run
lms load hf-maziyarpanahi--gemma-3-12b-it-gguf && lms server startYes, AMD Instinct MI60 32GB can run gemma 3 12b it with a C grade (Runs well). Expected decode speed: 68.5 tok/s.
gemma 3 12b it (12B parameters) requires approximately 12.8 GB of memory with Q4_K_M quantization.
The recommended quantization for gemma 3 12b it is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI60 32GB, gemma 3 12b it achieves approximately 68.5 tokens per second decode speed with a time-to-first-token of 2824ms using Q4_K_M quantization.
For coding workloads, gemma 3 12b it on AMD Instinct MI60 32GB receives a C grade with 68.5 tok/s and 234K context.
On AMD Instinct MI60 32GB, gemma 3 12b it can safely use up to 234K tokens of context. The model's official context limit is —, 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/hf-maziyarpanahi--gemma-3-12b-it-gguf-on-instinct-mi60-32gb" 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 |
| C44 |
Q4_K_M | 4 | 7.3 GB | Medium | C45 |
Q5_K_M | 5 | 8.6 GB | High | C45 |
Q6_K | 6 | 9.8 GB | High | C46 |
Q8_0 | 8 | 12.8 GB | Very High | C47 |
F16Best for your GPU | 16 | 24.6 GB | Maximum | C49 |