Solar 7B needs ~9.5 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
Tight fit
Decode
71.9 tok/s
TTFT
2693 ms
Safe context
8K
Memory
9.5 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 | A | Runs well | 71.9 tok/s | 1469 ms | 8K |
| Coding | A | Tight fit | 66.9 tok/s | 2895 ms | 8K |
| Agentic Coding | B | Very compromised (needs ~0.5 GB host RAM) | 40.1 tok/s | 7023 ms | 8K |
| Reasoning | A | Tight fit | 71.9 tok/s | 3183 ms | 8K |
| RAG | B | Very compromised (needs ~0.5 GB host RAM) | 40.1 tok/s | 8778 ms | 8K |
How Solar 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 | A70 |
Q3_K_S | 3 | 3.4 GB | Low | A71 |
NVFP4 | 4 |
Copy-paste commands to run Solar 7B on your machine.
Run
lms load Solar-7B && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen 3.5 9B | 9B | S | 55.9 tok/s | |
| Qwen 3 8B | 8B | S | 62.9 tok/s |
Yes, GTX 1080 Ti 11GB can run Solar 7B with a A grade (Tight fit). Expected decode speed: 66.9 tok/s.
Solar 7B (7B parameters) requires approximately 9.5 GB of memory with Q4_K_M quantization.
The recommended quantization for Solar 7B is Q4_K_M, which balances quality and memory efficiency.
On GTX 1080 Ti 11GB, Solar 7B 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, Solar 7B on GTX 1080 Ti 11GB receives a A grade with 66.9 tok/s and 8K context.
On GTX 1080 Ti 11GB, Solar 7B can safely use up to 8K tokens of context. The model's official context limit is 8K, 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/solar-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 |
| A72 |
Q4_K_M | 4 | 4.3 GB | Medium | A73 |
Q5_K_M | 5 | 5.0 GB | High | A73 |
Q6_K | 6 | 5.7 GB | High | A73 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | A72 |
F16 | 16 | 14.3 GB | Maximum | F0 |
 Nemotron Nano 8B | 8B | S | 62.9 tok/s |
 InternVL2 8B | 8B | A | 62.9 tok/s |
 Ministral 3 8B | 8B | A | 62.9 tok/s |