Dolphin3.0 Llama3.1 8B needs ~8.1 GB VRAM. RTX 2080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~82 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
82.0 tok/s
TTFT
2360 ms
Safe context
65K
Memory
8.1 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 | 82.0 tok/s | 1287 ms | 65K |
| Coding | B | Runs well | 82.0 tok/s | 2360 ms | 65K |
| Agentic Coding | C | Tight fit | 82.0 tok/s | 3432 ms | 65K |
| Reasoning | B | Runs well | 82.0 tok/s | 2789 ms | 65K |
| RAG | C | Tight fit | 82.0 tok/s | 4290 ms | 65K |
How Dolphin3.0 Llama3.1 8B (8B params) fits at each quantization level on RTX 2080 Ti 11GB (11.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C50 |
Q3_K_S | 3 | 3.9 GB | Low | C52 |
NVFP4 | 4 | 4.5 GB | Medium | C53 |
Q4_K_M | 4 | 4.9 GB | Medium | C53 |
Q5_K_M | 5 | 5.8 GB | High | C53 |
Q6_KBest for your GPU | 6 | 6.6 GB | High | C52 |
Q8_0 | 8 | 8.6 GB | Very High | F0 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Copy-paste commands to run Dolphin3.0 Llama3.1 8B on your machine.
Run
lms load hf-dphn--dolphin3-0-llama3-1-8b-gguf && lms server startYes, RTX 2080 Ti 11GB can run Dolphin3.0 Llama3.1 8B with a B grade (Runs well). Expected decode speed: 82.0 tok/s.
Dolphin3.0 Llama3.1 8B (8B parameters) requires approximately 8.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Dolphin3.0 Llama3.1 8B is Q4_K_M, which balances quality and memory efficiency.
On RTX 2080 Ti 11GB, Dolphin3.0 Llama3.1 8B achieves approximately 82.0 tokens per second decode speed with a time-to-first-token of 2360ms using Q4_K_M quantization.
For coding workloads, Dolphin3.0 Llama3.1 8B on RTX 2080 Ti 11GB receives a B grade with 82.0 tok/s and 65K context.
On RTX 2080 Ti 11GB, Dolphin3.0 Llama3.1 8B can safely use up to 65K 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-dphn--dolphin3-0-llama3-1-8b-gguf-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: