Llama 3.2 11B Vision needs ~22.9 GB VRAM. NVIDIA DGX Spark 128GB has 108.8 GB. With Q4_K_M quantization, expect ~26 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
26.2 tok/s
TTFT
7377 ms
Safe context
16K
Memory
22.9 GB / 108.8 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 26.2 tok/s | 4024 ms | 16K |
| Coding | B | Runs well | 26.2 tok/s | 7377 ms | 16K |
| Agentic Coding | B | Runs well | 26.2 tok/s | 10731 ms | 16K |
| Reasoning | B | Runs well | 26.2 tok/s | 8719 ms | 16K |
| RAG | B | Runs well | 26.2 tok/s | 13414 ms | 16K |
How Llama 3.2 11B Vision (11B params) fits at each quantization level on NVIDIA DGX Spark 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.3 GB | Low | C54 |
Q3_K_S | 3 | 5.4 GB | Low | C54 |
NVFP4 | 4 | 6.2 GB | Medium | C54 |
Q4_K_M | 4 | 6.7 GB | Medium | C54 |
Q5_K_M | 5 | 7.9 GB | High | C54 |
Q6_K | 6 | 9.0 GB | High | C54 |
Q8_0 | 8 | 11.8 GB | Very High | C54 |
F16Best for your GPU | 16 | 22.5 GB | Maximum | B55 |
Copy-paste commands to run Llama 3.2 11B Vision on your machine.
Run
ollama run llama3.2-vision:11bOpciones de mejora
NVIDIA H200 141GBOpción económicaSube la velocidad estimada de decodificación alrededor de un 488%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$30,000 MSRP
NVIDIA H200 PCIe 141GBMejor relación calidad-precioSube la velocidad estimada de decodificación alrededor de un 488%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$30,000 MSRP
NVIDIA B200 180GBMejora NVIDIASube la velocidad estimada de decodificación alrededor de un 488%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$30,000 MSRP
Yes, NVIDIA DGX Spark 128GB can run Llama 3.2 11B Vision with a B grade (Runs well). Expected decode speed: 26.2 tok/s.
Llama 3.2 11B Vision (11B parameters) requires approximately 22.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Llama 3.2 11B Vision is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA DGX Spark 128GB, Llama 3.2 11B Vision achieves approximately 26.2 tokens per second decode speed with a time-to-first-token of 7377ms using Q4_K_M quantization.
For coding workloads, Llama 3.2 11B Vision on NVIDIA DGX Spark 128GB receives a B grade with 26.2 tok/s and 16K context.
On NVIDIA DGX Spark 128GB, Llama 3.2 11B Vision can safely use up to 16K tokens of context. The model's official context limit is 16K, but available memory constrains the safe maximum.
Not always. NVIDIA DGX Spark 128GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/llama-3.2-11b-vision-on-dgx-spark-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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