Mistral 7B Instruct v0.2 needs ~7.4 GB VRAM. GTX 1080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~67 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
66.9 tok/s
TTFT
2895 ms
Safe context
86K
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 | C | Runs well | 66.9 tok/s | 1579 ms | 86K |
| Coding | B | Runs well | 66.9 tok/s | 2895 ms | 86K |
| Agentic Coding | B | Runs well | 66.9 tok/s | 4211 ms | 86K |
| Reasoning | B | Runs well | 66.9 tok/s | 3421 ms | 86K |
| RAG | B | Runs well | 66.9 tok/s | 5263 ms | 86K |
How Mistral 7B Instruct v0.2 (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 | C50 |
Q3_K_S | 3 | 3.4 GB | Low | C51 |
NVFP4 | 4 | 3.9 GB | Medium | C52 |
Q4_K_M | 4 | 4.3 GB | Medium | C52 |
Q5_K_M | 5 | 5.0 GB | High | C53 |
Q6_K | 6 | 5.7 GB | High | C53 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | C52 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Copy-paste commands to run Mistral 7B Instruct v0.2 on your machine.
Run
lms load hf-thebloke--mistral-7b-instruct-v0-2-gguf && lms server startYes, GTX 1080 Ti 11GB can run Mistral 7B Instruct v0.2 with a B grade (Runs well). Expected decode speed: 66.9 tok/s.
Mistral 7B Instruct v0.2 (7B parameters) requires approximately 7.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Mistral 7B Instruct v0.2 is Q4_K_M, which balances quality and memory efficiency.
On GTX 1080 Ti 11GB, Mistral 7B Instruct v0.2 achieves approximately 66.9 tokens per second decode speed with a time-to-first-token of 2895ms using Q4_K_M quantization.
For coding workloads, Mistral 7B Instruct v0.2 on GTX 1080 Ti 11GB receives a B grade with 66.9 tok/s and 86K context.
On GTX 1080 Ti 11GB, Mistral 7B Instruct v0.2 can safely use up to 86K tokens of context. The model's official context limit is —, 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/hf-thebloke--mistral-7b-instruct-v0-2-gguf-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: