NVIDIA · Ampere
Best AI Models for NVIDIA GeForce RTX 3050 Laptop GPU (4 GB)
Runs only small models well; 7–9B doesn't fit in 4 GB.
Laptop RTX 3050 has 4 GB (not the desktop 8 GB), so only ~3B-class Q4 models fit fully on the GPU. Performance varies strongly with the chassis power limit (35-80 W).
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 38.3 t/s | 38.3 tok/s | Q4_K_M · 3.4 GB | |
| 2 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 65.7 t/s | 65.7 tok/s | Q4_K_M · 2.5 GB | |
| 3 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 36.4 t/s | 36.4 tok/s | Q4_K_M · 3.5 GB | |
| 4 | LFM3 1.7BLiquid AI Q4_K_M · 2.1 GB · 86.7 t/s | 86.7 tok/s | Q4_K_M · 2.1 GB | |
| 5 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 73.4 t/s | 73.4 tok/s | Q4_K_M · 2.4 GB |
| # | Model | Speed ↓ | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 38.3 t/s | 38.3 tok/s | Q4_K_M · 3.4 GB | |
| 2 | LFM3 1.7BLiquid AI Q4_K_M · 2.1 GB · 86.7 t/s | 86.7 tok/s | Q4_K_M · 2.1 GB | |
| 3 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 73.4 t/s | 73.4 tok/s | Q4_K_M · 2.4 GB | |
| 4 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 65.7 t/s | 65.7 tok/s | Q4_K_M · 2.5 GB | |
| 5 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 36.4 t/s | 36.4 tok/s | Q4_K_M · 3.5 GB |
| # | Model | Speed | Vision Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 38.3 t/s | 38.3 tok/s | Q4_K_M · 3.4 GB | |
| 2 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 73.4 t/s | 73.4 tok/s | Q4_K_M · 2.4 GB | |
| 3 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 97.5 t/s | 97.5 tok/s | Q4_K_M · 1.6 GB | |
| 4 | Qwen3.5 2BAlibaba Q4_K_M · 1.9 GB · 70.5 t/s | 70.5 tok/s | Q4_K_M · 1.9 GB | |
| 5 | Cosmos Reason2 2BNVIDIA Q4_K_M · 3.5 GB · 77.5 t/s | 77.5 tok/s | Q4_K_M · 3.5 GB |
The RTX 3050 Laptop GPU runs only small models well. Ampere generation, released 2021.
RTX 3050 Laptop GPU strengths and weaknesses
Strengths
- Low power draw: 80 W board power; a 200 W PSU is enough
Weaknesses
- 7–9B models don't fit: Qwen3.5 9B needs 6.6 GB at Q4 vs 4 GB here
- Slow prompt reading: A 4K-token prompt on Qwen3.5 4B waits 6.0 s for the first token
- No FP8 or NVFP4: Ampere predates both; use GGUF, AWQ or GPTQ builds
Cards people weigh against the RTX 3050 Laptop GPU, each with the one reason it is worth a look.
Output speed depends on memory bandwidth (192 GB/s). Grey rows need more than 4 GB.
- 9BQwen3.5 9B · not at 4-bitneeds 6.6 GB
- 14BQwen3 14B · not at 4-bitneeds 11.9 GB
- 27–31BQwen3.8 27B · not at 4-bitneeds 17.9 GB
- 35B MoEQwen3.6 35B A3B · not at 4-bitneeds 22.0 GB
- 70BLlama 3.3 70B Instruct · not at 4-bitneeds 51.3 GB
- 120B MoEGPT OSS 120B · not at 4-bitneeds 70.8 GB
Estimated speeds: Q4_K_M, 4K context, one user. How we estimate
All 562 models on the RTX 3050 Laptop GPU
Featured onlyBest quant that fits, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works
| Model | Quant | VRAM | Speed | Context | Score | Fit |
|---|---|---|---|---|---|---|
Ilama 3.2 1BChat | BF16 | 3.3 GB | 43.9 t/s | 131K | A73, Runs well | |
| Q4_K_M | 2.8 GB | 111.4 t/s | — | S94, Runs great | ||
| Q4_K_M | 0.4 GB | 416.0 t/s | 8K | S100, Runs great | ||
Kumru 2BChat | Q4_K_M | 2.2 GB | 67.8 t/s | 8K | S85, Runs great | |
| Q4_K_M | 1.7 GB | 97.5 t/s | 33K | S91, Runs great | ||
Llm Jp 3 150MChat | Q4_K_M | 0.5 GB | 283.6 t/s | 4K | S100, Runs great | |
Qwen3.5 9BVisionFunctions | IQ2_S | 3.9 GB | 34.8 t/s | 262K | B46, Decent | |
| Q4_K_M | 1.4 GB | 173.3 t/s | 262K | S98, Runs great | ||
Nanbeige4.1 3BChat | Q4_K_M | 3.7 GB | 44.7 t/s | 262K | B58, Decent | |
Helium 1 2BChat | Q4_K_M | 2.0 GB | 71.3 t/s | 4K | S86, Runs great | |
Small Qwen2ForCausalLM 2.5ChatFunctions | Q4_K_M | 0.3 GB | 390.0 t/s | 33K | S100, Runs great | |
| Q4_K_M | 2.2 GB | 68.6 t/s | 4K | S85, Runs great | ||
| BF16 | 2.3 GB | 57.8 t/s | 4K | A83, Runs well | ||
Qwen3.5 4B BaseVision | Q4_K_M | 3.4 GB | 38.3 t/s | 262K | A67, Runs well | |
Tiny LlamaForCausalLM 3.2ChatFunctions | Q4_K_M | 0.5 GB | 416.0 t/s | 131K | S100, Runs great |
Specs
- Architecture
- Ampere
- VRAM
- 4 GB GDDR6
- Memory bandwidth
- 192.0 GB/s
- FP16 (dense)
- 14.25 TFLOPS
- CUDA cores
- 2,048
- Tensor cores
- 64
- Compute capability
- 8.6
- TDP
- 80 W
- Released
- 2021-05-11
RTX 3050 Laptop GPU FAQ
What is the largest model the RTX 3050 Laptop GPU can run?
Qwen3.5 4B (4.7B) is the largest at 4-bit or better: at Q4_K_M it uses 3.4 GB of 4 GB, and runs at about 38.3 tok/s.
Can the RTX 3050 Laptop GPU run 7–9B models?
No. Qwen3.5 9B needs 6.6 GB at Q4, more than the 4 GB on this card.
How many tokens per second does the RTX 3050 Laptop GPU give?
About 38.3 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 6.0 s on a 4K-token prompt.
What power supply does the RTX 3050 Laptop GPU need?
Plan a 200 W PSU (2× the 80 W TDP).
Is renting cheaper than buying an RTX 3050 Laptop GPU?
An RTX 3080 (10 GB) rents from $0.11/hr. With regular daily use, owning pays off.