OpenHermes 2.5 7B needs ~8.5 GB VRAM. RTX 2080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~94 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
98.0 tok/s
TTFT
1976 ms
Safe context
8K
Memory
8.5 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 | B | Runs well | 93.8 tok/s | 1126 ms | 8K |
| Coding | B | Runs well | 93.8 tok/s | 2065 ms | 8K |
| Agentic Coding | C | Runs with offload | 93.8 tok/s | 3003 ms | 8K |
| Reasoning | B | Runs well | 93.8 tok/s | 2440 ms | 8K |
| RAG | C | Runs with offload | 93.8 tok/s | 3754 ms | 8K |
How OpenHermes 2.5 7B (7B params) fits at each quantization level on RTX 2080 Ti 11GB (11.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C51 |
Q3_K_S | 3 | 3.4 GB | Low | C52 |
NVFP4 | 4 |
Copy-paste commands to run OpenHermes 2.5 7B on your machine.
Run
ollama run openhermesYes, RTX 2080 Ti 11GB can run OpenHermes 2.5 7B with a B grade (Runs well). Expected decode speed: 93.8 tok/s.
OpenHermes 2.5 7B (7B parameters) requires approximately 8.5 GB of memory with Q4_K_M quantization.
The recommended quantization for OpenHermes 2.5 7B is Q4_K_M, which balances quality and memory efficiency.
On RTX 2080 Ti 11GB, OpenHermes 2.5 7B achieves approximately 93.8 tokens per second decode speed with a time-to-first-token of 2065ms using Q4_K_M quantization.
For coding workloads, OpenHermes 2.5 7B on RTX 2080 Ti 11GB receives a B grade with 93.8 tok/s and 8K context.
On RTX 2080 Ti 11GB, OpenHermes 2.5 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/openhermes-2.5-7b-on-rtx-2080-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 |
| C52 |
Q4_K_M | 4 | 4.3 GB | Medium | C53 |
Q5_K_M | 5 | 5.0 GB | High | C54 |
Q6_K | 6 | 5.7 GB | High | C53 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | C53 |
F16 | 16 | 14.3 GB | Maximum | F0 |