Can SmolLM3 3B run on RTX 3000 Ada Laptop 8GB?
YES — Runs Great
SmolLM3 3B needs ~5.5 GB VRAM. RTX 3000 Ada Laptop 8GB has 8.0 GB. With Q4_K_M quantization, expect ~48 tok/s.
Operating mode
Choose the run profile you care about
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
48.0 tok/s
TTFT
4033 ms
Safe context
37K
Memory
5.5 GB / 8.0 GB
Memory breakdown
See how fast it feels
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 48.0 tok/s | 2200 ms | 37K |
| Coding | B | Runs well | 48.0 tok/s | 4033 ms | 37K |
| Agentic Coding | B | Tight fit | 48.0 tok/s | 5867 ms | 37K |
| Reasoning | B | Runs well | 48.0 tok/s | 4767 ms | 37K |
| RAG | B | Tight fit | 48.0 tok/s | 7333 ms | 37K |
Quantization options
How SmolLM3 3B (3B params) fits at each quantization level on RTX 3000 Ada Laptop 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.2 GB | Low | B58 |
Q3_K_S | 3 | 1.5 GB | Low | B59 |
NVFP4 | 4 | 1.7 GB | Medium | B59 |
Q4_K_M | 4 | 1.8 GB | Medium | B59 |
Q5_K_M | 5 | 2.2 GB | High | B60 |
Q6_K | 6 | 2.5 GB | High | B61 |
Q8_0Best for your GPU | 8 | 3.2 GB | Very High | B61 |
F16 | 16 | 6.1 GB | Maximum | F0 |
Get started
Copy-paste commands to run SmolLM3 3B on your machine.
Run
lms load SmolLM3-3B && lms server startFrequently asked questions
Can RTX 3000 Ada Laptop 8GB run SmolLM3 3B?
Yes, RTX 3000 Ada Laptop 8GB can run SmolLM3 3B with a B grade (Runs well). Expected decode speed: 48.0 tok/s.
How much VRAM does SmolLM3 3B need?
SmolLM3 3B (3B parameters) requires approximately 5.5 GB of memory with Q4_K_M quantization.
What is the best quantization for SmolLM3 3B?
The recommended quantization for SmolLM3 3B is Q4_K_M, which balances quality and memory efficiency.
What speed will SmolLM3 3B run at on RTX 3000 Ada Laptop 8GB?
On RTX 3000 Ada Laptop 8GB, SmolLM3 3B achieves approximately 48.0 tokens per second decode speed with a time-to-first-token of 4033ms using Q4_K_M quantization.
Can RTX 3000 Ada Laptop 8GB run SmolLM3 3B for coding?
For coding workloads, SmolLM3 3B on RTX 3000 Ada Laptop 8GB receives a B grade with 48.0 tok/s and 37K context.
What context window can SmolLM3 3B use on RTX 3000 Ada Laptop 8GB?
On RTX 3000 Ada Laptop 8GB, SmolLM3 3B can safely use up to 37K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
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<iframe src="https://willitrunai.com/embed/smollm3-3b-on-rtx-3000-ada-laptop-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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