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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 2000 Ada 16GB

Can it run?

Can RTX 2000 Ada 16GB run Qwen2.5 1.5B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

218.9 tok/s

TTFT

885 ms

Safe context

57K

Memory

4.5 GB / 16.0 GB

Memory breakdown

Weights0.9 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well218.9 tok/s1287 ms113K
ChatCRuns well218.9 tok/s482 ms28K
CodingCRuns well218.9 tok/s885 ms57K
RAGCRuns well218.9 tok/s1608 ms113K
ReasoningCRuns well218.9 tok/s1045 ms57K

Quantization options

How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on RTX 2000 Ada 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.6 GB
LowD30
Q3_K_S
3
0.7 GB
LowD30
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
HighD31
Q8_0
8
1.6 GB
Very HighD32
F16Best for your GPU
16
3.1 GB
MaximumD34

Get started

Upgrade options

Hardware that runs Qwen2.5 1.5B Instruct well

AppleMacBook Air M4 24GBBudget pick
C86.4 tok/s decode

~$1,099 MSRP

AppleMacBook Pro M4 Pro 24GBBest value
C210.2 tok/s decode

~$1,999 MSRP

See all results for RTX 2000 Ada 16GBSee all hardware for Qwen2.5 1.5B Instruct