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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 B570 10GB

Can it run?

Can Intel Arc B570 10GB run Qwen2.5 1.5B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

205.2 tok/s

TTFT

943 ms

Safe context

41K

Memory

3.9 GB / 10.0 GB

Memory breakdown

Weights0.9 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom1.0 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well205.2 tok/s1372 ms82K
ChatCRuns well205.2 tok/s515 ms20K
CodingCRuns well205.2 tok/s943 ms41K
RAGCRuns well205.2 tok/s1715 ms82K
ReasoningCRuns well205.2 tok/s1115 ms41K

Quantization options

How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on Intel Arc B570 10GB (10.0 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
HighD32
Q6_K
6
1.2 GB
HighD32
Q8_0
8
1.6 GB
Very HighD33
F16Best for your GPU
16
3.1 GB
MaximumD36

Get started

Upgrade options

Hardware that runs Qwen2.5 1.5B Instruct well

AppleMacBook Pro M4 16GBBudget pick
C86.4 tok/s decode

~$599 MSRP

AppleMacBook Pro M1 Pro 16GBBest value
C130 tok/s decode

~$1,999 MSRP

AppleMacBook Pro M2 Pro 16GBBiggest leap
C140 tok/s decode

~$1,999 MSRP

See all results for Intel Arc B570 10GBSee all hardware for Qwen2.5 1.5B Instruct