MacBook Air M4 24GBOpción económica
24 GB Unified (+8)
B
Este setup está bastante equilibrado para este modelo.42 tok/s decodificación
~$1,099 MSRP
Can SmolLM3 3B run on RTX 4090 Laptop 16GB?
YES — Runs Great
B56Good
Estimated from fit model
SmolLM3 3B needs ~6.3 GB VRAM. RTX 4090 Laptop 16GB has 16.0 GB. With Q4_K_M quantization, expect ~48 tok/s.
Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: StandardBottleneck: Balanced
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
Q4_K_M (Medium quality) — 6.3 GB, 48.0 tok/s, Runs well
6.3 GB required16.0 GB available
39% VRAM used
Fit status
Runs well
Decode
48.0 tok/s
TTFT
4033 ms
Safe context
96K
Memory
6.3 GB / 16.0 GB
Memory breakdown
Weights1.8 GB
KV Cache2.0 GB
Runtime0.9 GB
Headroom1.6 GB
See how fast it feels
See how fast it feelsSmolLM3 3B on RTX 4090 Laptop 16GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.
Given information:
- Speed = 60 mph (miles per hour)
- Time = 2.5 hours
Formula: Distance = Speed x Time
Calculation:
Distance = 60 mph x 2.5 h
= 150 miles
The train travels 150 miles.
Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.
Breakdown:
- First half: 1.25 hours at 60 mph = 75 miles
- Stop: 20 minutes (no distance)
- Second half: 1.25 hours at 60 mph = 75 miles
Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph
The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 48.0 tok/s decode · 4.0s TTFT (warm) · 120 tok/s prefill
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 | C | Runs well | 48.0 tok/s | 2200 ms | 96K |
| Coding | B | Runs well | 48.0 tok/s | 4033 ms | 96K |
| Agentic Coding | B | Runs well | 48.0 tok/s | 5867 ms | 96K |
| Reasoning | B | Runs well | 48.0 tok/s | 4767 ms | 96K |
| RAG | B | Runs well | 48.0 tok/s | 7333 ms | 96K |
Quantization options
How SmolLM3 3B (3B params) fits at each quantization level on RTX 4090 Laptop 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.2 GB | Low | C53 |
Q3_K_S | 3 | 1.5 GB | Low | C54 |
NVFP4 | 4 | 1.7 GB | Medium | C54 |
Q4_K_M | 4 | 1.8 GB | Medium | C54 |
Q5_K_M | 5 | 2.2 GB | High | C54 |
Q6_K | 6 | 2.5 GB | High | C54 |
Q8_0 | 8 | 3.2 GB | Very High | C55 |
F16Best for your GPU | 16 | 6.1 GB | Maximum | B58 |
Get started
Copy-paste commands to run SmolLM3 3B on your machine.
Run
lms load SmolLM3-3B && lms server startOpciones de mejora
Hardware que ejecuta bien SmolLM3 3B
Frequently asked questions
Can RTX 4090 Laptop 16GB run SmolLM3 3B?
Yes, RTX 4090 Laptop 16GB 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 6.3 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 4090 Laptop 16GB?
On RTX 4090 Laptop 16GB, 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 4090 Laptop 16GB run SmolLM3 3B for coding?
For coding workloads, SmolLM3 3B on RTX 4090 Laptop 16GB receives a B grade with 48.0 tok/s and 96K context.
What context window can SmolLM3 3B use on RTX 4090 Laptop 16GB?
On RTX 4090 Laptop 16GB, SmolLM3 3B can safely use up to 96K 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-4090-laptop-16gb" 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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