Qwen 2.5 Math 7B needs ~7.4 GB VRAM. GTX 1080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~73 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
72.6 tok/s
TTFT
2666 ms
Safe context
4K
Memory
7.4 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 | B | Runs well | 72.6 tok/s | 1454 ms | 4K |
| Coding | B | Runs well | 72.6 tok/s | 2666 ms | 4K |
| Agentic Coding | B | Runs well | 72.6 tok/s | 3878 ms | 4K |
| Reasoning | B | Runs well | 72.6 tok/s | 3151 ms | 4K |
| RAG | B | Runs well | 72.6 tok/s | 4848 ms | 4K |
How Qwen 2.5 Math 7B (7B params) fits at each quantization level on GTX 1080 Ti 11GB (11.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C54 |
Q3_K_S | 3 | 3.4 GB | Low | C55 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 2.5 Math 7B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "Qwen/Qwen2.5-Math-7B-Instruct" \
--hf-file "Qwen2.5-Math-7B-Instruct-Q4_K_M.gguf" \
-c 4096 -ngl 99Yes, GTX 1080 Ti 11GB can run Qwen 2.5 Math 7B with a B grade (Runs well). Expected decode speed: 72.6 tok/s.
Qwen 2.5 Math 7B (7B parameters) requires approximately 7.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 2.5 Math 7B is Q4_K_M, which balances quality and memory efficiency.
On GTX 1080 Ti 11GB, Qwen 2.5 Math 7B achieves approximately 72.6 tokens per second decode speed with a time-to-first-token of 2666ms using Q4_K_M quantization.
For coding workloads, Qwen 2.5 Math 7B on GTX 1080 Ti 11GB receives a B grade with 72.6 tok/s and 4K context.
On GTX 1080 Ti 11GB, Qwen 2.5 Math 7B 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/qwen-2.5-math-7b-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:
3.9 GB |
| Medium |
| B56 |
Q4_K_M | 4 | 4.3 GB | Medium | B56 |
Q5_K_M | 5 | 5.0 GB | High | B57 |
Q6_K | 6 | 5.7 GB | High | B57 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | B56 |
F16 | 16 | 14.3 GB | Maximum | F0 |