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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/Mistral 7B Instruct v0.2/on RTX 4080 Super 16GB

Can it run?

Can RTX 4080 Super 16GB run Mistral 7B Instruct v0.2?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

143.1 tok/s

TTFT

1353 ms

Safe context

31K

Memory

8.2 GB / 16.0 GB

Memory breakdown

Weights4.3 GB
KV Cache1.1 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well143.1 tok/s1968 ms55K
ChatCRuns well143.1 tok/s738 ms16K
CodingCRuns well143.1 tok/s1353 ms31K
RAGCRuns well143.1 tok/s2460 ms55K
ReasoningCRuns well143.1 tok/s1599 ms31K

Quantization options

How Mistral 7B Instruct v0.2 (7B params) fits at each quantization level on RTX 4080 Super 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowD33
Q3_K_S
3
3.4 GB
LowD34
NVFP4
4
3.9 GB
MediumD35
Q4_K_M
4
4.3 GB
MediumD35
Q5_K_M
5
5.0 GB
HighD36
Q6_K
6
5.7 GB
HighD37
Q8_0Best for your GPU
8
7.5 GB
Very HighD39
F16
16
14.3 GB
MaximumC44

Get started

See all results for RTX 4080 Super 16GBSee all hardware for Mistral 7B Instruct v0.2