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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 3070 Ti 8GB

Can it run?

Can RTX 3070 Ti 8GB run gemma 2b?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

358.8 tok/s

TTFT

540 ms

Safe context

32K

Memory

4.0 GB / 8.0 GB

Memory breakdown

Weights1.2 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom0.8 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well358.8 tok/s785 ms64K
ChatCRuns well358.8 tok/s350 ms16K
CodingCRuns well358.8 tok/s540 ms32K
RAGCRuns well358.8 tok/s981 ms64K
ReasoningCRuns well358.8 tok/s638 ms32K

Quantization options

How gemma 2b (2B params) fits at each quantization level on RTX 3070 Ti 8GB (8.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.8 GB
LowD32
Q3_K_S
3
1.0 GB
LowD32
NVFP4
4
1.1 GB
MediumD32
Q4_K_M
4
1.2 GB
MediumD33
Q5_K_M
5
1.4 GB
HighD33
Q6_K
6
1.6 GB
HighD34
Q8_0
8
2.1 GB
Very HighD35
F16Best for your GPU
16
4.1 GB
MaximumC41

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