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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/Codestral 2 25.08/on GTX 1080 Ti 11GB

Can it run?

Can GTX 1080 Ti 11GB run Codestral 2 25.08?

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

21.3 tok/s

TTFT

9098 ms

Safe context

9K

Memory

20.4 GB / 11.0 GB

Memory breakdown

Weights13.4 GB
KV Cache3.4 GB
Runtime2.4 GB
Headroom1.1 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy21.3 tok/s13234 ms15K
ChatFToo heavy21.3 tok/s4963 ms5K
CodingFToo heavy21.3 tok/s9098 ms9K
RAGFToo heavy21.3 tok/s16542 ms15K
ReasoningFToo heavy21.3 tok/s10753 ms9K

Quantization options

How Codestral 2 25.08 (22B params) fits at each quantization level on GTX 1080 Ti 11GB (11.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
8.6 GB
LowC44
Q3_K_S
3
10.8 GB
LowC44
NVFP4
4
12.3 GB
MediumF0
Q4_K_M
4
13.4 GB
MediumF0
Q5_K_M
5
15.8 GB
HighF0
Q6_K
6
18.0 GB
HighF0
Q8_0
8
23.5 GB
Very HighF0
F16
16
45.1 GB
MaximumF0

Upgrade options

Hardware that runs Codestral 2 25.08 well

AppleMacBook Pro M4 32GBBest value
C6.4 tok/s decode

~$799 MSRP

AMDRX 7900 XTX 24GBBudget pick
C51.5 tok/s decode

~$999 MSRP

NVIDIARTX 5090 32GBBiggest leap
B89.5 tok/s decode

~$1,999 MSRP

NVIDIARTX PRO 4500 Blackwell 32GBNVIDIA upgrade
B56.1 tok/s decode

 

See all results for GTX 1080 Ti 11GBSee all hardware for Codestral 2 25.08