StableLM 2 12B needs ~24.9 GB VRAM. AMD Instinct MI100 32GB has 32.0 GB. With Q5_K_M quantization, expect ~71 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
70.7 tok/s
TTFT
2739 ms
Safe context
4K
Memory
24.9 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 | 70.7 tok/s | 1494 ms | 4K |
| Coding | B | Runs well | 70.7 tok/s | 2739 ms | 4K |
| Agentic Coding | C | Very compromised (needs ~1.2 GB host RAM) | 38.7 tok/s | 7275 ms | 4K |
| Reasoning | B | Runs well | 70.7 tok/s | 3237 ms | 4K |
| RAG | C | Very compromised (needs ~1.2 GB host RAM) | 38.7 tok/s | 9094 ms | 4K |
How StableLM 2 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 | C43 |
Q3_K_S | 3 | 5.9 GB | Low | C44 |
NVFP4 | 4 |
Copy-paste commands to run StableLM 2 12B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "stabilityai/stablelm-2-12b-chat" \
--hf-file "stablelm-2-12b-chat-Q5_K_M.gguf" \
-c 4096 -ngl 99Yes, AMD Instinct MI100 32GB can run StableLM 2 12B with a B grade (Runs well). Expected decode speed: 70.7 tok/s.
StableLM 2 12B (12B parameters) requires approximately 24.9 GB of memory with Q5_K_M quantization.
The recommended quantization for StableLM 2 12B is Q5_K_M, which balances quality and memory efficiency.
On AMD Instinct MI100 32GB, StableLM 2 12B achieves approximately 70.7 tokens per second decode speed with a time-to-first-token of 2739ms using Q5_K_M quantization.
For coding workloads, StableLM 2 12B on AMD Instinct MI100 32GB receives a B grade with 70.7 tok/s and 4K context.
On AMD Instinct MI100 32GB, StableLM 2 12B can safely use up to 4K tokens of context. The model's official context limit is 4K, 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/stablelm-2-12b-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 |
| C44 |
Q4_K_M | 4 | 7.3 GB | Medium | C44 |
Q5_K_M | 5 | 8.6 GB | High | C45 |
Q6_K | 6 | 9.8 GB | High | C45 |
Q8_0 | 8 | 12.8 GB | Very High | C47 |
F16Best for your GPU | 16 | 24.6 GB | Maximum | C48 |