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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/EXAONE 3.5 7.8B Instruct/on RTX 5070 12GB

Can it run?

Can RTX 5070 12GB run EXAONE 3.5 7.8B Instruct?

BGood

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

89.0 tok/s

TTFT

2176 ms

Safe context

23K

Memory

8.4 GB / 12.0 GB

Memory breakdown

Weights4.8 GB
KV Cache1.2 GB
Runtime1.2 GB
Headroom1.2 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingBRuns well89.0 tok/s3165 ms40K
ChatBRuns well89.0 tok/s1187 ms12K
CodingBRuns well89.0 tok/s2176 ms23K
RAGBRuns well89.0 tok/s3956 ms40K
ReasoningBRuns well89.0 tok/s2571 ms23K

Quantization options

How EXAONE 3.5 7.8B Instruct (7.800000190734863B params) fits at each quantization level on RTX 5070 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.0 GB
LowD34
Q3_K_S
3
3.8 GB
LowD36
NVFP4
4
4.4 GB
MediumD37
Q4_K_M
4
4.8 GB
MediumD38
Q5_K_M
5
5.6 GB
HighD39
Q6_K
6
6.4 GB
HighC40
Q8_0Best for your GPU
8
8.3 GB
Very HighC44
F16
16
16.0 GB
MaximumF0

Get started

See all results for RTX 5070 12GBSee all hardware for EXAONE 3.5 7.8B Instruct