GPU GUIDE · NVIDIA
Best AI models for the
NVIDIA RTX 2060 6GB
The NVIDIA RTX 2060 6GB has 6.0GB of VRAM. Below are the top 30 open-source AI models that fit, ranked by composite benchmark score. Each row shows the best quantization that fits your hardware.
VRAM
6.0GB
Brand
nvidia
Models that fit
30
Generation
RTX 20 Series
Top 30 models for the NVIDIA RTX 2060 6GB
01
45.1Qwen 3.5 4B
4.0BBest fit: Q8_0 · 5.3GBCan I run it? →
02
31.7Devstral Small 2
7.0BBest fit: Q5_K_M · 6.0GBCan I run it? →
03
31.3gemma 4 E4B it
8.0BBest fit: Q4_1 · 6.0GBCan I run it? →
04
30.3Qwen3 4B Thinking 2507
4.0BBest fit: Q8_0 · 5.3GBCan I run it? →
05
27.2Qwen 3.5 2B
2.0BBest fit: fp16 · 5.0GBCan I run it? →
06
27.8Qwen3 VL 8B Thinking
8.8BBest fit: Q4_0 · 6.0GBCan I run it? →
07
27.4DeepSeek R1 0528 Qwen3 8B
8.2BBest fit: Q4_K_M · 6.0GBCan I run it? →
08
25.4gemma 4 E2B it
5.1BBest fit: Q6_K · 5.2GBCan I run it? →
09
25.0Gemma 4 E2B
2.0BBest fit: fp16 · 5.0GBCan I run it? →
10
24.5NVIDIA Nemotron 3 Nano 4B BF16
4.0BBest fit: Q8_0 · 5.3GBCan I run it? →
11
25.0Ministral 3 8B
8.0BBest fit: Q4_K_M · 5.8GBCan I run it? →
12
23.7Qwen3 4B
4.0BBest fit: Q8_0 · 5.3GBCan I run it? →
13
23.8Qwen3 VL 8B Instruct
8.8BBest fit: Q4_0 · 6.0GBCan I run it? →
14
22.9Qwen3 VL 4B Thinking
4.4BBest fit: Q8_0 · 5.7GBCan I run it? →
15
21.5Qwen3 4B Instruct 2507
4.0BBest fit: Q8_0 · 5.3GBCan I run it? →
16
22.0Qwen3 8B
8.2BBest fit: Q4_K_M · 6.0GBCan I run it? →
17
20.6Granite 4.1 8B
8.8BBest fit: Q4_0 · 6.0GBCan I run it? →
18
20.2DeepSeek R1 Distill Llama 8B
8.0BBest fit: Q4_K_M · 5.8GBCan I run it? →
19
18.7Ministral 3 3B 2512
3.8BBest fit: Q8_0 · 5.0GBCan I run it? →
20
18.3Ministral 3 3B
3.0BBest fit: Q8_0 · 4.2GBCan I run it? →
21
17.5Qwen 3.5 0.8B
0.8BBest fit: fp16 · 2.6GBCan I run it? →
22
16.6Qwen 2.5 Coder 7B
7.6BBest fit: Q4_K_M · 5.6GBCan I run it? →
23
15.9Qwen3 VL 4B Instruct
4.4BBest fit: Q8_0 · 5.7GBCan I run it? →
24
15.1DeepSeek R1 Distill Qwen 1.5B
1.8BBest fit: fp16 · 4.6GBCan I run it? →
25
14.8Llama 3 8B Instruct
8.0BBest fit: Q4_1 · 6.0GBCan I run it? →
26
14.2granite 4.1 3b
3.4BBest fit: Q8_0 · 4.6GBCan I run it? →
27
13.5LFM2.5-1.2B-Thinking (free)
1.2BBest fit: fp16 · 3.4GBCan I run it? →
28
13.4LFM2.5-1.2B-Instruct (free)
1.2BBest fit: fp16 · 3.4GBCan I run it? →
29
13.3Qwen3 1.7B
2.0BBest fit: fp16 · 5.0GBCan I run it? →
30
12.4Mistral 7B Instruct v0.1
7.2BBest fit: Q5_K_S · 6.0GBCan I run it? →
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FAQ — running AI on the NVIDIA RTX 2060 6GB
How many AI models can the NVIDIA RTX 2060 6GB run?
With 6.0GB of VRAM, the NVIDIA RTX 2060 6GB can run 30+ open-source models from our database, including Qwen 3.5 4B, Devstral Small 2, gemma 4 E4B it.
What's the largest LLM I can run on a NVIDIA RTX 2060 6GB?
The biggest model that fits is approximately 8.8B. Larger models would need to be quantized further or won't fit at all.
Is 6.0GB of VRAM enough for local AI?
Tight but workable. 6.0GB runs 3B-7B models well at Q4. For coding or reasoning models you may want more memory.