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.

What LLMs can the RTX A3000 Laptop GPU run?

#	Model	Speed	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	Gemma 3 4B ITGoogleHow to run → 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	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 ↓	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	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

About the RTX A3000 Laptop GPU

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

RTX A3000 Laptop GPU tokens per second by model size

Output speed depends on memory bandwidth (336 GB/s). Grey rows need more than 6 GB.

9BQwen3.5 9B · Q3_K_L · 5.8 GB tight · Q3_K_L
39.6tok/s
14BQwen3 14B · not at 4-bit
needs 11.9 GB
27–31BQwen3.8 27B · not at 4-bit
needs 17.9 GB
35B MoEQwen3.6 35B A3B · not at 4-bit
needs 22.0 GB
70BLlama 3.3 70B Instruct · not at 4-bit
needs 51.3 GB
120B MoEGPT OSS 120B · not at 4-bit
needs 70.8 GB

Estimated speeds: Q4_K_M, 4K context, one user. How we estimate

All 193 models on the RTX A3000 Laptop GPU

Featured only

Best quant that fits, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with NVIDIA RTX A3000 Laptop GPU — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Qwen3 8B8.2BChatFunctions Q2_K_S·56.3 t/s	Q2_K_S	6.0 GB100%	56.3 t/s	41K	C44, Usable
CodeQwen1.5 7B7.3BChatCode Q4_K_M·45.7 t/s	Q4_K_M	5.7 GB95%	45.7 t/s	66K	B55, Decent
Xgen 7B 8k Base7BChat Q4_K_M·47.3 t/s	Q4_K_M	5.7 GB95%	47.3 t/s	8K	B56, Decent
Chatglm2 6B6BChat Q3_K_M·67.8 t/s	Q3_K_M	5.6 GB93%	67.8 t/s	33K	B62, Decent
Granite 4.1 8B8.8BChatFunctions IQ2_M·60.7 t/s	IQ2_M	6.0 GB99%	60.7 t/s	131K	C44, Usable
DeepSeek R1 Distill Llama 8B8.0BChatReasoningFunctions Q3_K_S·53.5 t/s	Q3_K_S	6.0 GB99%	53.5 t/s	131K	C44, Usable
Yi 9B8.8BChat Q4_K_M·37.7 t/s	Q4_K_M	6 GB100%	37.7 t/s	4K	C43, Usable
Qwen3 VL 8B Thinking8.8BVisionFunctions IQ2_M·61.3 t/s	IQ2_M	5.7 GB95%	61.3 t/s	262K	B61, Decent
Qwen 14B Chat14.2BChat IQ2_XS·46.7 t/s	IQ2_XS	6.0 GB100%	46.7 t/s	8K	C44, Usable
MiniCPM V 2 68.1BVision IQ2_M·72.6 t/s	IQ2_M	5.6 GB93%	72.6 t/s	—	B62, Decent
Glm 4 9B Chat9.4BChatFunctions IQ2_S·67.6 t/s	IQ2_S	5.9 GB99%	67.6 t/s	131K	C44, Usable
Qwen 7B7.7BChat Q2_K_S·64.2 t/s	Q2_K_S	5.9 GB99%	64.2 t/s	33K	C44, Usable
Qwen 14B14.2BChat IQ2_XS·46.7 t/s	IQ2_XS	6.0 GB100%	46.7 t/s	8K	C44, Usable

RTX A3000 Laptop GPU specs, power and PSU

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).

Best coding LLMs 8 GB VRAM GPUs with 6 GB or more RTX 3080 Ti RTX 3080 12GB RTX 3080