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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 A5500 24GB

Can it run?

Can RTX A5500 24GB run Qwen2.5 1.5B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

599.0 tok/s

TTFT

350 ms

Safe context

72K

Memory

5.3 GB / 24.0 GB

Memory breakdown

Weights0.9 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom2.4 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well599.0 tok/s470 ms144K
ChatCRuns well599.0 tok/s350 ms36K
CodingCRuns well599.0 tok/s350 ms72K
RAGCRuns well599.0 tok/s588 ms144K
ReasoningCRuns well599.0 tok/s382 ms72K

Quantization options

How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on RTX A5500 24GB (24.0 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
HighD30
Q6_K
6
1.2 GB
HighD31
Q8_0
8
1.6 GB
Very HighD31
F16Best for your GPU
16
3.1 GB
MaximumD32

Get started

Upgrade options

Hardware that runs Qwen2.5 1.5B Instruct well

AppleMacBook Pro M3 Pro 36GBBudget pick
C109.5 tok/s decode

~$1,999 MSRP

AppleMacBook Pro M4 Max 36GBBest value
C258.3 tok/s decode

~$2,499 MSRP

AppleMacBook Pro M3 Max 48GBBiggest leap
C240 tok/s decode

~$2,499 MSRP

See all results for RTX A5500 24GBSee all hardware for Qwen2.5 1.5B Instruct