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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Gemma 3 4B/on RTX 4050 Laptop 6GB

Can it run?

Can RTX 4050 Laptop 6GB run Gemma 3 4B?

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

57.4 tok/s

TTFT

3370 ms

Safe context

19K

Memory

5.0 GB / 6.0 GB

Memory breakdown

Weights2.4 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom0.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCTight fit57.4 tok/s4902 ms35K
ChatCTight fit57.4 tok/s1838 ms10K
CodingCTight fit57.4 tok/s3370 ms19K
RAGCTight fit57.4 tok/s6128 ms35K
ReasoningCTight fit57.4 tok/s3983 ms19K

Quantization options

How Gemma 3 4B (4B params) fits at each quantization level on RTX 4050 Laptop 6GB (6.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.6 GB
LowD34
Q3_K_S
3
2.0 GB
LowD36
NVFP4
4
2.2 GB
MediumD36
Q4_K_M
4
2.4 GB
MediumD37
Q5_K_M
5
2.9 GB
HighD39
Q6_KBest for your GPU
6
3.3 GB
HighC40
Q8_0
8
4.3 GB
Very HighC43
F16
16
8.2 GB
MaximumF0

Get started

Ollama
ollama run gemma-3-4b
HuggingFace
huggingface-cli download gemma-3-4b

Upgrade options

Hardware that runs Gemma 3 4B well

AMDRX 7600 8GBBudget pick
C68.5 tok/s decode

~$269 MSRP

IntelIntel Arc A750 8GBBest value
C90.2 tok/s decode

~$289 MSRP

NVIDIARTX 2060 Super 8GBNVIDIA upgrade
B106.5 tok/s decode

~$399 MSRP

IntelIntel Arc A580 8GBBiggest leap
B102.8 tok/s decode

 

See all results for RTX 4050 Laptop 6GBSee all hardware for Gemma 3 4B