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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 2 2b it/on Intel Arc A370M 4GB

Can it run?

Can Intel Arc A370M 4GB run gemma 2 2b it?

CUsable

Runs with offload (needs ~0 GB host RAM)

Using Q6_K in Ollama

Capabilities:

Fit status

Runs with offload (needs ~0 GB host RAM)

Decode

34.8 tok/s

TTFT

5557 ms

Safe context

16K

Memory

4.0 GB / 4.0 GB

Memory breakdown

Weights1.6 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom0.4 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns with offload (needs ~0 GB host RAM)34.8 tok/s8082 ms32K
ChatCRuns with offload (needs ~0 GB host RAM)34.8 tok/s3031 ms8K
CodingCRuns with offload (needs ~0 GB host RAM)34.8 tok/s5557 ms16K
RAGCRuns with offload (needs ~0 GB host RAM)34.8 tok/s10103 ms32K
ReasoningCRuns with offload (needs ~0 GB host RAM)34.8 tok/s6567 ms16K

Quantization options

How gemma 2 2b it (2B params) fits at each quantization level on Intel Arc A370M 4GB (4.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.8 GB
LowD34
Q3_K_S
3
1.0 GB
LowD35
NVFP4
4
1.1 GB
MediumD35
Q4_K_M
4
1.2 GB
MediumD36
Q5_K_M
5
1.4 GB
HighD37
Q6_KBest for your GPU
6
1.6 GB
HighD38
Q8_0
8
2.1 GB
Very HighC41
F16
16
4.1 GB
MaximumF0

Get started

HuggingFace
huggingface-cli download hf-bartowski--gemma-2-2b-it-gguf

Upgrade options

Hardware that runs gemma 2 2b it well

AMDRX 7600 8GBBudget pick
C106.9 tok/s decode

~$269 MSRP

IntelIntel Arc A750 8GBBest value
C141 tok/s decode

~$289 MSRP

NVIDIAGTX 1660 Super 6GBBiggest leap
B118.3 tok/s decode

 

IntelIntel Arc Pro A40 6GBIntel upgrade
B60.2 tok/s decode

 

See all results for Intel Arc A370M 4GBSee all hardware for gemma 2 2b it