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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 RX 9070 16GB

Can it run?

Can RX 9070 16GB run Qwen2.5 1.5B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

396.8 tok/s

TTFT

488 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 well396.8 tok/s710 ms113K
ChatCRuns well396.8 tok/s350 ms28K
CodingCRuns well396.8 tok/s488 ms57K
RAGCRuns well396.8 tok/s887 ms113K
ReasoningCRuns well396.8 tok/s577 ms57K

Quantization options

How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on RX 9070 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 RX 9070 16GBSee all hardware for Qwen2.5 1.5B Instruct