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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 PRO 6000 Blackwell Server Edition 96GB

Can it run?

Can RTX PRO 6000 Blackwell Server Edition 96GB run Qwen2.5 1.5B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

1341.5 tok/s

TTFT

350 ms

Safe context

123K

Memory

12.5 GB / 96.0 GB

Memory breakdown

Weights0.9 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom9.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well1341.5 tok/s350 ms245K
ChatCRuns well1341.5 tok/s350 ms61K
CodingCRuns well1341.5 tok/s350 ms123K
RAGCRuns well1341.5 tok/s350 ms245K
ReasoningCRuns well1341.5 tok/s350 ms123K

Quantization options

How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on RTX PRO 6000 Blackwell Server Edition 96GB (96.0 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
HighD30
Q8_0
8
1.6 GB
Very HighD30
F16Best for your GPU
16
3.1 GB
MaximumD30

Get started

Upgrade options

Hardware that runs Qwen2.5 1.5B Instruct well

AppleMac Studio M3 Ultra 256GBBudget pick
C556.9 tok/s decode

 

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