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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 v0.3/on NVIDIA A100 40GB

Can it run?

Can NVIDIA A100 40GB run Mistral 7B Instruct v0.3?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

305.9 tok/s

TTFT

633 ms

Safe context

61K

Memory

10.6 GB / 40.0 GB

Memory breakdown

Weights4.3 GB
KV Cache1.1 GB
Runtime1.2 GB
Headroom4.0 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well305.9 tok/s921 ms110K
ChatCRuns well305.9 tok/s350 ms31K
CodingCRuns well305.9 tok/s633 ms61K
RAGCRuns well305.9 tok/s1151 ms110K
ReasoningCRuns well305.9 tok/s748 ms61K

Quantization options

How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowD31
Q3_K_S
3
3.4 GB
LowD31
NVFP4
4
3.9 GB
MediumD31
Q4_K_M
4
4.3 GB
MediumD32
Q5_K_M
5
5.0 GB
HighD32
Q6_K
6
5.7 GB
HighD32
Q8_0
8
7.5 GB
Very HighD33
F16Best for your GPU
16
14.3 GB
MaximumD37

Get started

Upgrade options

Hardware that runs Mistral 7B Instruct v0.3 well

AppleMac Studio M1 Ultra 64GBBudget pick
C103 tok/s decode

~$3,999 MSRP

AppleMac Studio M2 Ultra 64GBBest value
C108.7 tok/s decode

~$3,999 MSRP

AppleMacBook Pro M4 Max 64GBBiggest leap
C80.6 tok/s decode

~$3,999 MSRP

See all results for NVIDIA A100 40GBSee all hardware for Mistral 7B Instruct v0.3