Dolphin3.0 Llama3.1 8B needs ~8.2 GB VRAM. RTX 3060 12GB has 12.0 GB. With Q4_K_M quantization, expect ~49 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
48.7 tok/s
TTFT
3976 ms
Safe context
81K
Memory
8.2 GB / 12.0 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 | 48.7 tok/s | 2169 ms | 81K |
| Coding | C | Runs well | 48.7 tok/s | 3976 ms | 81K |
| Agentic Coding | C | Runs well | 48.7 tok/s | 5784 ms | 81K |
| Reasoning | C | Runs well | 48.7 tok/s | 4699 ms | 81K |
| RAG | C | Runs well | 48.7 tok/s | 7230 ms | 81K |
How Dolphin3.0 Llama3.1 8B (8B params) fits at each quantization level on RTX 3060 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C49 |
Q3_K_S | 3 | 3.9 GB | Low | C50 |
NVFP4 | 4 | 4.5 GB | Medium | C51 |
Q4_K_M | 4 | 4.9 GB | Medium | C52 |
Q5_K_M | 5 | 5.8 GB | High | C52 |
Q6_K | 6 | 6.6 GB | High | C52 |
Q8_0Best for your GPU | 8 | 8.6 GB | Very High | C51 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Copy-paste commands to run Dolphin3.0 Llama3.1 8B on your machine.
Run
lms load hf-bartowski--dolphin3-0-llama3-1-8b-gguf && lms server startYes, RTX 3060 12GB can run Dolphin3.0 Llama3.1 8B with a C grade (Runs well). Expected decode speed: 48.7 tok/s.
Dolphin3.0 Llama3.1 8B (8B parameters) requires approximately 8.2 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 3060 12GB, Dolphin3.0 Llama3.1 8B achieves approximately 48.7 tokens per second decode speed with a time-to-first-token of 3976ms using Q4_K_M quantization.
For coding workloads, Dolphin3.0 Llama3.1 8B on RTX 3060 12GB receives a C grade with 48.7 tok/s and 81K context.
On RTX 3060 12GB, Dolphin3.0 Llama3.1 8B can safely use up to 81K 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-bartowski--dolphin3-0-llama3-1-8b-gguf-on-rtx-3060-12gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: