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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/Yi Coder 1.5B/on Intel Arc A370M 4GB

Can it run?

Can Intel Arc A370M 4GB run Yi Coder 1.5B?

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

54.9 tok/s

TTFT

3528 ms

Safe context

19K

Memory

3.3 GB / 4.0 GB

Memory breakdown

Weights0.9 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom0.4 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCTight fit54.9 tok/s5131 ms39K
ChatCTight fit54.9 tok/s1924 ms10K
CodingCTight fit54.9 tok/s3528 ms19K
RAGCTight fit54.9 tok/s6414 ms39K
ReasoningCTight fit54.9 tok/s4169 ms19K

Quantization options

How Yi Coder 1.5B (1.5B params) fits at each quantization level on Intel Arc A370M 4GB (4.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.6 GB
LowD32
Q3_K_S
3
0.7 GB
LowD33
NVFP4
4
0.8 GB
MediumD33
Q4_K_M
4
0.9 GB
MediumD34
Q5_K_M
5
1.1 GB
HighD35
Q6_K
6
1.2 GB
HighD35
Q8_0Best for your GPU
8
1.6 GB
Very HighD38
F16
16
3.1 GB
MaximumC44

Get started

Upgrade options

Hardware that runs Yi Coder 1.5B well

NVIDIARTX 2060 6GBBudget pick
C191.5 tok/s decode

~$349 MSRP

IntelIntel Arc A380 6GBBiggest leap
C91.1 tok/s decode

 

IntelIntel Arc Pro A40 6GBIntel upgrade
C94.1 tok/s decode

 

See all results for Intel Arc A370M 4GBSee all hardware for Yi Coder 1.5B