MiniCPM-V 2.6 8B needs ~8.8 GB VRAM. GTX 1080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~59 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
62.9 tok/s
TTFT
3078 ms
Safe context
2K
Memory
8.8 GB / 11.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 62.9 tok/s | 1679 ms | 2K |
| Coding | S | Runs well | 58.5 tok/s | 3308 ms | 2K |
| Agentic Coding | A | Runs with offload | 62.9 tok/s | 4477 ms | 2K |
| Reasoning | S | Runs well | 62.9 tok/s | 3637 ms | 2K |
| RAG | A | Runs with offload | 62.9 tok/s | 5596 ms | 2K |
How MiniCPM-V 2.6 8B (8B params) fits at each quantization level on GTX 1080 Ti 11GB (11.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | A81 |
Q3_K_S | 3 | 3.9 GB | Low | A82 |
NVFP4 | 4 |
Copy-paste commands to run MiniCPM-V 2.6 8B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "openbmb/MiniCPM-V-2_6" \
--hf-file "MiniCPM-V-2_6-Q4_K_M.gguf" \
-c 4096 -ngl 99Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 9B | S | 55.9 tok/s | ||
| 14B | A | 18.3 tok/s |
Yes, GTX 1080 Ti 11GB can run MiniCPM-V 2.6 8B with a S grade (Runs well). Expected decode speed: 58.5 tok/s.
MiniCPM-V 2.6 8B (8B parameters) requires approximately 8.8 GB of memory with Q4_K_M quantization.
The recommended quantization for MiniCPM-V 2.6 8B is Q4_K_M, which balances quality and memory efficiency.
On GTX 1080 Ti 11GB, MiniCPM-V 2.6 8B achieves approximately 58.5 tokens per second decode speed with a time-to-first-token of 3308ms using Q4_K_M quantization.
For coding workloads, MiniCPM-V 2.6 8B on GTX 1080 Ti 11GB receives a S grade with 58.5 tok/s and 2K context.
On GTX 1080 Ti 11GB, MiniCPM-V 2.6 8B can safely use up to 2K tokens of context. The model's official context limit is 2K, 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/minicpm-v-2.6-8b-on-gtx-1080-ti-11gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
4.5 GB |
| Medium |
| A83 |
Q4_K_M | 4 | 4.9 GB | Medium | A83 |
Q5_K_M | 5 | 5.8 GB | High | A83 |
Q6_KBest for your GPU | 6 | 6.6 GB | High | A83 |
Q8_0 | 8 | 8.6 GB | Very High | F0 |
F16 | 16 | 16.4 GB | Maximum | F0 |
| 14B | B | 18.2 tok/s |