NVIDIA · Ampere
Best AI Models for NVIDIA RTX A3000 Laptop GPU (6 GB)
Runs only small models well; 7–9B only just fits.
6 GB GDDR6336 GB/s51 TFLOPS FP16130 WAmpere 2021
6 GB (a 12 GB version also exists under the same family name) at 336 GB/s: ~7B Q4 is tight on the 6 GB model. Check which VRAM size the laptop has.
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 67.0 t/s | 67.0 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 76.9 t/s | 76.9 tok/s | Q4_K_M · 5.0 GB | |
| 3 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 63.7 t/s | 63.7 tok/s | Q4_K_M · 3.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 73.8 t/s | 73.8 tok/s | Q4_K_M · 4.3 GB | |
| 5 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 115 t/s | 115 tok/s | Q4_K_M · 2.5 GB |
| # | Model | Speed | Reasoning Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Q4_K_M · 5.0 GB · 76.9 t/s | 76.9 tok/s | Q4_K_M · 5.0 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 67.0 t/s | 67.0 tok/s | overall | Q4_K_M · 3.4 GB |
| 3 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 63.7 t/s | 63.7 tok/s | Q4_K_M · 3.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 73.8 t/s | 73.8 tok/s | Q4_K_M · 4.3 GB | |
| 5 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 115 t/s | 115 tok/s | Q4_K_M · 2.5 GB |
| # | Model | Speed | Long context Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 67.0 t/s | 67.0 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 63.7 t/s | 63.7 tok/s | Q4_K_M · 3.5 GB | |
| 3 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 73.8 t/s | 73.8 tok/s | Q4_K_M · 4.3 GB | |
| 4 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 115 t/s | 115 tok/s | Q4_K_M · 2.5 GB | |
| 5 | LFM3 1.7BLiquid AI Q4_K_M · 2.1 GB · 152 t/s | 152 tok/s | Q4_K_M · 2.1 GB |
| # | Model | Speed ↓ | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 67.0 t/s | 67.0 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 179 t/s | 179 tok/s | Q4_K_M · 5.5 GB | |
| 3 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 115 t/s | 115 tok/s | Q4_K_M · 2.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 73.8 t/s | 73.8 tok/s | Q4_K_M · 4.3 GB | |
| 5 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 63.7 t/s | 63.7 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 · 67.0 t/s | 67.0 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 76.9 t/s | 76.9 tok/s | Q4_K_M · 5.0 GB | |
| 3 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 129 t/s | 129 tok/s | Q4_K_M · 2.4 GB | |
| 4 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 171 t/s | 171 tok/s | Q4_K_M · 1.6 GB | |
| 5 | Cosmos Reason2 2BNVIDIA Q4_K_M · 3.5 GB · 136 t/s | 136 tok/s | Q4_K_M · 3.5 GB |
See all 193 models on the RTX A3000 Laptop GPU →Best quant that fits · speeds estimated on this card
The RTX A3000 Laptop GPU runs only small models well. Ampere generation, released 2021.
GenerationAmperereleased 2021
RTX A3000 Laptop GPU strengths and weaknesses
Strengths
- Runs 7–9B models: Qwen3.5 9B at 39.6 tok/s in 5.8 GB
- Reads long prompts fast: A 4K-token prompt on Qwen3.5 4B starts answering in 1.7 s
- Low power draw: 130 W board power; a 300 W PSU is enough
Weaknesses
- 14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 6 GB here
- Little room for context: Qwen3.5 9B uses 5.8 of 6 GB, 0.2 GB left
- No FP8 or NVFP4: Ampere predates both; use GGUF, AWQ or GPTQ builds
Output speed depends on memory bandwidth (336 GB/s). Grey rows need more than 6 GB.
- 39.6tok/s
- 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 738 models on the RTX A3000 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 |
|---|---|---|---|---|---|---|
| Q4_K_M | 2.7 GB | 80.9 t/s | 131K | S88, Runs great | ||
VibeThinker 3BChatMathCodeReasoning | Q4_K_M | 2.8 GB | 97.9 t/s | 131K | S91, Runs great | |
Chandra Ocr 2VisionFunctions | Q4_K_M | 3.8 GB | 59.8 t/s | 262K | A84, Runs well | |
| Q4_K_M | 0.7 GB | 390.0 t/s | 262K | S100, Runs great | ||
| Q4_K_M | 1.5 GB | 193.3 t/s | 262K | S99, Runs great | ||
Qwen3.5 4B PTBRChat | Q4_K_M | 4.8 GB | 82.7 t/s | — | S88, Runs great | |
MiniCPM5 1B SFTChat | Q4_K_M | 1.3 GB | 220.6 t/s | 131K | S100, Runs great | |
OneRec 1.7BChatFunctions | Q4_K_M | 3.5 GB | 120.7 t/s | 41K | S95, Runs great | |
| Q4_K_M | 5 GB | 68.3 t/s | — | A81, Runs well | ||
| Q4_K_M | 0.3 GB | 606.7 t/s | 1K | S100, Runs great | ||
LFM2.5 230MChatFunctions | Q4_K_M | 0.6 GB | 436.8 t/s | 128K | S100, Runs great | |
HRM Text 1BChat | BF16 | 3.1 GB | 76.1 t/s | 4K | S87, Runs great | |
| Q4_K_M | 0.9 GB | 307.6 t/s | 262K | S100, Runs great | ||
Sweep Next Edit 1.5BChatCode | Q4_K_M | 1.6 GB | 183.5 t/s | 33K | S99, Runs great | |
Deeplm 108MChat | BF16 | 1.0 GB | 910.0 t/s | — | S100, Runs great |
Specs
- Architecture
- Ampere
- VRAM
- 6 GB GDDR6
- Memory bandwidth
- 336.0 GB/s
- FP16 (dense)
- 51.20 TFLOPS
- CUDA cores
- 4,096
- Tensor cores
- 128
- Compute capability
- 8.6
- TDP
- 130 W
- Released
- 2021-04-12
RTX A3000 Laptop GPU FAQ
What is the largest model the RTX A3000 Laptop GPU can run?
Qwen2.5 7B Instruct (7.6B) is the largest at 4-bit or better: at Q4_K_M it uses 5.8 GB of 6 GB, and runs at about 43.8 tok/s. At 3-bit, a bigger model fits too: Gemma 2 9B IT (9.2B) at IQ3_M, 5.7 GB.
Can the RTX A3000 Laptop GPU run Qwen3.5 4B?
Yes. Qwen3.5 4B fits at Q4_K_M, using 3.4 GB of 6 GB, and it is the best model that runs well on this card.
Can the RTX A3000 Laptop GPU run 14B models?
No. Qwen3 14B needs 11.9 GB at Q4, more than the 6 GB on this card.
How many tokens per second does the RTX A3000 Laptop GPU give?
About 67.0 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 1.7 s on a 4K-token prompt.
What power supply does the RTX A3000 Laptop GPU need?
Plan a 300 W PSU (2× the 130 W TDP).