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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 RTX A4500 20GB

Can it run?

Can RTX A4500 20GB run Qwen2.5 1.5B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

499.2 tok/s

TTFT

388 ms

Safe context

65K

Memory

4.9 GB / 20.0 GB

Memory breakdown

Weights0.9 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom2.0 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well499.2 tok/s564 ms130K
ChatCRuns well499.2 tok/s350 ms33K
CodingCRuns well499.2 tok/s388 ms65K
RAGCRuns well499.2 tok/s705 ms130K
ReasoningCRuns well499.2 tok/s458 ms65K

Quantization options

How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on RTX A4500 20GB (20.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.6 GB
LowD30
Q3_K_S
3
0.7 GB
LowD30
NVFP4
4
0.8 GB
MediumD30
Q4_K_M
4
0.9 GB
MediumD30
Q5_K_M
5
1.1 GB
HighD31
Q6_K
6
1.2 GB
HighD31
Q8_0
8
1.6 GB
Very HighD31
F16Best for your GPU
16
3.1 GB
MaximumD33

Get started

Upgrade options

Hardware that runs Qwen2.5 1.5B Instruct well

AppleMacBook Pro M4 32GBBudget pick
C86.4 tok/s decode

~$799 MSRP

AppleMac mini M4 32GBBest value
C86.4 tok/s decode

~$1,099 MSRP

AppleMacBook Pro M1 Max 32GBBiggest leap
C220 tok/s decode

~$2,499 MSRP

See all results for RTX A4500 20GBSee all hardware for Qwen2.5 1.5B Instruct