~$3,999 MSRP
gemma 3 12b it needs ~16.0 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q4_K_M quantization, expect ~152 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
152.2 tok/s
TTFT
1272 ms
Safe context
562K
Memory
16.0 GB / 64.0 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 | 152.2 tok/s | 694 ms | 562K |
| Coding | C | Runs well | 152.2 tok/s | 1272 ms | 562K |
| Agentic Coding | C | Runs well | 152.2 tok/s | 1851 ms | 562K |
| Reasoning | C | Runs well | 152.2 tok/s | 1504 ms | 562K |
| RAG | C | Runs well | 152.2 tok/s | 2313 ms | 562K |
How gemma 3 12b it (12B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.7 GB | Low | C41 |
Q3_K_S | 3 | 5.9 GB | Low | C41 |
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 startUpgrade options
Yes, AMD Instinct MI210 64GB can run gemma 3 12b it with a C grade (Runs well). Expected decode speed: 152.2 tok/s.
gemma 3 12b it (12B parameters) requires approximately 16.0 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 MI210 64GB, gemma 3 12b it achieves approximately 152.2 tokens per second decode speed with a time-to-first-token of 1272ms using Q4_K_M quantization.
For coding workloads, gemma 3 12b it on AMD Instinct MI210 64GB receives a C grade with 152.2 tok/s and 562K context.
On AMD Instinct MI210 64GB, gemma 3 12b it can safely use up to 562K 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-mi210-64gb" 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 |
| C41 |
Q4_K_M | 4 | 7.3 GB | Medium | C41 |
Q5_K_M | 5 | 8.6 GB | High | C41 |
Q6_K | 6 | 9.8 GB | High | C41 |
Q8_0 | 8 | 12.8 GB | Very High | C42 |
F16Best for your GPU | 16 | 24.6 GB | Maximum | C44 |