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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/Qwen2.5 1.5B Instruct/on Intel Arc A730M 12GB

Can it run?

Can Intel Arc A730M 12GB run Qwen2.5 1.5B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

164.6 tok/s

TTFT

1176 ms

Safe context

47K

Memory

4.1 GB / 12.0 GB

Memory breakdown

Weights0.9 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom1.2 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well164.6 tok/s1710 ms93K
ChatCRuns well164.6 tok/s641 ms23K
CodingCRuns well164.6 tok/s1176 ms47K
RAGCRuns well164.6 tok/s2138 ms93K
ReasoningCRuns well164.6 tok/s1390 ms47K

Quantization options

How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on Intel Arc A730M 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.6 GB
LowD31
Q3_K_S
3
0.7 GB
LowD31
NVFP4
4
0.8 GB
MediumD31
Q4_K_M
4
0.9 GB
MediumD31
Q5_K_M
5
1.1 GB
HighD31
Q6_K
6
1.2 GB
HighD32
Q8_0
8
1.6 GB
Very HighD32
F16Best for your GPU
16
3.1 GB
MaximumD35

Get started

Upgrade options

Hardware that runs Qwen2.5 1.5B Instruct well

AppleMacBook Pro M3 Pro 18GBBudget pick
C109.5 tok/s decode

~$1,999 MSRP

See all results for Intel Arc A730M 12GBSee all hardware for Qwen2.5 1.5B Instruct