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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 2b/on RTX 5090 Laptop 24GB

Can it run?

Can RTX 5090 Laptop 24GB run gemma 2b?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

616.9 tok/s

TTFT

350 ms

Safe context

68K

Memory

5.6 GB / 24.0 GB

Memory breakdown

Weights1.2 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom2.4 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well616.9 tok/s456 ms137K
ChatCRuns well616.9 tok/s350 ms34K
CodingCRuns well616.9 tok/s350 ms68K
RAGCRuns well616.9 tok/s571 ms137K
ReasoningCRuns well616.9 tok/s371 ms68K

Quantization options

How gemma 2b (2B params) fits at each quantization level on RTX 5090 Laptop 24GB (24.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.8 GB
LowD30
Q3_K_S
3
1.0 GB
LowD30
NVFP4
4
1.1 GB
MediumD31
Q4_K_M
4
1.2 GB
MediumD31
Q5_K_M
5
1.4 GB
HighD31
Q6_K
6
1.6 GB
HighD31
Q8_0
8
2.1 GB
Very HighD31
F16Best for your GPU
16
4.1 GB
MaximumD33

Get started

Upgrade options

Hardware that runs gemma 2b well

AppleMacBook Pro M3 Pro 36GBBudget pick
C89.8 tok/s decode

~$1,999 MSRP

AppleMacBook Pro M4 Max 36GBBest value
C211.7 tok/s decode

~$2,499 MSRP

AppleMacBook Pro M3 Max 48GBBiggest leap
C196.7 tok/s decode

~$2,499 MSRP

See all results for RTX 5090 Laptop 24GBSee all hardware for gemma 2b