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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/Devstral Small 1.1/on GTX 1080 8GB

Can it run?

Can GTX 1080 8GB run Devstral Small 1.1?

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

12.9 tok/s

TTFT

15012 ms

Safe context

6K

Memory

20.4 GB / 8.0 GB

Memory breakdown

Weights14.6 GB
KV Cache3.8 GB
Runtime1.2 GB
Headroom0.8 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy12.9 tok/s21836 ms11K
ChatFToo heavy12.9 tok/s8188 ms4K
CodingFToo heavy12.9 tok/s15012 ms6K
RAGFToo heavy12.9 tok/s27295 ms11K
ReasoningFToo heavy12.9 tok/s17742 ms6K

Quantization options

How Devstral Small 1.1 (24B params) fits at each quantization level on GTX 1080 8GB (8.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
9.4 GB
LowF0
Q3_K_S
3
11.8 GB
LowF0
NVFP4
4
13.4 GB
MediumF0
Q4_K_M
4
14.6 GB
MediumF0
Q5_K_M
5
17.3 GB
HighF0
Q6_K
6
19.7 GB
HighF0
Q8_0
8
25.7 GB
Very HighF0
F16
16
49.2 GB
MaximumF0

Upgrade options

Hardware that runs Devstral Small 1.1 well

AppleMacBook Pro M4 32GBBest value
C5.9 tok/s decode

~$799 MSRP

AMDRX 7900 XTX 24GBBudget pick
C47.2 tok/s decode

~$999 MSRP

NVIDIARTX 5090 32GBBiggest leap
B82 tok/s decode

~$1,999 MSRP

NVIDIARTX PRO 4500 Blackwell 32GBNVIDIA upgrade
B51.4 tok/s decode

 

See all results for GTX 1080 8GBSee all hardware for Devstral Small 1.1