Will It Run AI
CalculatorModelsHardwareCompare
Product
  • Calculator
  • Compare
  • Tier List
Browse
  • Models
  • Hardware
  • Docs
About
  • Why It Works
  • What's New
  • Legal Notice
  • Privacy Policy

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 A16 64GB

Can it run?

Can NVIDIA A16 64GB run Mistral 7B Instruct v0.3?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

109.6 tok/s

TTFT

1766 ms

Safe context

79K

Memory

13.0 GB / 64.0 GB

Memory breakdown

Weights4.3 GB
KV Cache1.1 GB
Runtime1.2 GB
Headroom6.4 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well109.6 tok/s2569 ms146K
ChatCRuns well109.6 tok/s963 ms40K
CodingCRuns well109.6 tok/s1766 ms79K
RAGCRuns well109.6 tok/s3212 ms146K
ReasoningCRuns well109.6 tok/s2088 ms79K

Quantization options

How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowD30
Q3_K_S
3
3.4 GB
LowD31
NVFP4
4
3.9 GB
MediumD31
Q4_K_M
4
4.3 GB
MediumD31
Q5_K_M
5
5.0 GB
HighD31
Q6_K
6
5.7 GB
HighD31
Q8_0
8
7.5 GB
Very HighD32
F16Best for your GPU
16
14.3 GB
MaximumD34

Get started

Upgrade options

Hardware that runs Mistral 7B Instruct v0.3 well

AppleMacBook Pro M4 Max 96GBBudget pick
C80.6 tok/s decode

~$2,499 MSRP

AppleMac Studio M1 Ultra 128GBBest value
C103 tok/s decode

~$3,999 MSRP

AppleMac Studio M3 Ultra 96GBBiggest leap
C130.4 tok/s decode

 

See all results for NVIDIA A16 64GBSee all hardware for Mistral 7B Instruct v0.3