LLaVA 1.6 13B needs ~24.2 GB VRAM. AMD Instinct MI100 32GB has 32.0 GB. With Q4_K_M quantization, expect ~101 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
100.7 tok/s
TTFT
1923 ms
Safe context
4K
Memory
24.2 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 | 100.7 tok/s | 1049 ms | 4K |
| Coding | A | Runs well | 100.7 tok/s | 1923 ms | 4K |
| Agentic Coding | B | Very compromised | 57.4 tok/s | 4905 ms | 4K |
| Reasoning | A | Runs well | 100.7 tok/s | 2273 ms | 4K |
| RAG | B | Very compromised | 57.4 tok/s | 6131 ms | 4K |
How LLaVA 1.6 13B (13B params) fits at each quantization level on AMD Instinct MI100 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | B67 |
Q3_K_S | 3 | 6.4 GB | Low | B68 |
NVFP4 | 4 |
Copy-paste commands to run LLaVA 1.6 13B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "liuhaotian/llava-v1.6-mistral-7b" \
--hf-file "llava-v1.6-mistral-7b-Q4_K_M.gguf" \
-c 4096 -ngl 99Your 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 LLaVA 1.6 13B with a A grade (Runs well). Expected decode speed: 100.7 tok/s.
LLaVA 1.6 13B (13B parameters) requires approximately 24.2 GB of memory with Q4_K_M quantization.
The recommended quantization for LLaVA 1.6 13B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI100 32GB, LLaVA 1.6 13B achieves approximately 100.7 tokens per second decode speed with a time-to-first-token of 1923ms using Q4_K_M quantization.
For coding workloads, LLaVA 1.6 13B on AMD Instinct MI100 32GB receives a A grade with 100.7 tok/s and 4K context.
On AMD Instinct MI100 32GB, LLaVA 1.6 13B 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/llava-1.6-13b-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:
7.3 GB |
| Medium |
| B68 |
Q4_K_M | 4 | 7.9 GB | Medium | B68 |
Q5_K_M | 5 | 9.4 GB | High | B69 |
Q6_K | 6 | 10.7 GB | High | B69 |
Q8_0 | 8 | 13.9 GB | Very High | A71 |
F16Best for your GPU | 16 | 26.7 GB | Maximum | A72 |
| 27B | S | 32.6 tok/s |
| 35B | S | 101.4 tok/s |
| 30B | S | 124.8 tok/s |