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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 it/on RX 9070 16GB

Can it run?

Can RX 9070 16GB run gemma 3 4b it?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

162.6 tok/s

TTFT

1190 ms

Safe context

42K

Memory

6.0 GB / 16.0 GB

Memory breakdown

Weights2.4 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well162.6 tok/s1732 ms79K
ChatCRuns well162.6 tok/s649 ms21K
CodingCRuns well162.6 tok/s1190 ms42K
RAGCRuns well162.6 tok/s2165 ms79K
ReasoningCRuns well162.6 tok/s1407 ms42K

Quantization options

How gemma 3 4b it (4B params) fits at each quantization level on RX 9070 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.6 GB
LowD32
Q3_K_S
3
2.0 GB
LowD32
NVFP4
4
2.2 GB
MediumD32
Q4_K_M
4
2.4 GB
MediumD33
Q5_K_M
5
2.9 GB
HighD33
Q6_K
6
3.3 GB
HighD34
Q8_0
8
4.3 GB
Very HighD35
F16Best for your GPU
16
8.2 GB
MaximumC40

Get started

Upgrade options

Hardware that runs gemma 3 4b it well

AppleMacBook Pro M4 Pro 24GBBudget pick
C86.2 tok/s decode

~$1,999 MSRP

See all results for RX 9070 16GBSee all hardware for gemma 3 4b it