Dolphin3.0 Llama3.1 8B needs ~8.6 GB VRAM. RTX 5080 Laptop 16GB has 16.0 GB. With Q4_K_M quantization, expect ~112 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
112.0 tok/s
TTFT
1729 ms
Safe context
142K
Memory
8.6 GB / 16.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 112.0 tok/s | 943 ms | 142K |
| Coding | C | Runs well | 112.0 tok/s | 1729 ms | 142K |
| Agentic Coding | C | Runs well | 112.0 tok/s | 2514 ms | 142K |
| Reasoning | C | Runs well | 112.0 tok/s | 2043 ms | 142K |
| RAG | C | Runs well | 112.0 tok/s | 3143 ms | 142K |
How Dolphin3.0 Llama3.1 8B (8B params) fits at each quantization level on RTX 5080 Laptop 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C47 |
Q3_K_S | 3 | 3.9 GB | Low | C48 |
NVFP4 | 4 | 4.5 GB | Medium | C48 |
Q4_K_M | 4 | 4.9 GB | Medium | C49 |
Q5_K_M | 5 | 5.8 GB | High | C50 |
Q6_K | 6 | 6.6 GB | High | C51 |
Q8_0Best for your GPU | 8 | 8.6 GB | Very High | C52 |
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 5080 Laptop 16GB can run Dolphin3.0 Llama3.1 8B with a C grade (Runs well). Expected decode speed: 112.0 tok/s.
Dolphin3.0 Llama3.1 8B (8B parameters) requires approximately 8.6 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 5080 Laptop 16GB, Dolphin3.0 Llama3.1 8B achieves approximately 112.0 tokens per second decode speed with a time-to-first-token of 1729ms using Q4_K_M quantization.
For coding workloads, Dolphin3.0 Llama3.1 8B on RTX 5080 Laptop 16GB receives a C grade with 112.0 tok/s and 142K context.
On RTX 5080 Laptop 16GB, Dolphin3.0 Llama3.1 8B can safely use up to 142K 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-5080-laptop-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: