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/Meta Llama 3.1 8B Instruct/on NVIDIA A16 64GB

Can it run?

Can NVIDIA A16 64GB run Meta Llama 3.1 8B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

95.9 tok/s

TTFT

2019 ms

Safe context

75K

Memory

13.7 GB / 64.0 GB

Memory breakdown

Weights4.9 GB
KV Cache1.3 GB
Runtime1.2 GB
Headroom6.4 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well95.9 tok/s2936 ms137K
ChatCRuns well95.9 tok/s1101 ms39K
CodingCRuns well95.9 tok/s2019 ms75K
RAGCRuns well95.9 tok/s3670 ms137K
ReasoningCRuns well95.9 tok/s2386 ms75K

Quantization options

How Meta Llama 3.1 8B Instruct (8B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
LowD31
Q3_K_S
3
3.9 GB
LowD31
NVFP4
4
4.5 GB
MediumD31
Q4_K_M
4
4.9 GB
MediumD31
Q5_K_M
5
5.8 GB
HighD31
Q6_K
6
6.6 GB
HighD32
Q8_0
8
8.6 GB
Very HighD32
F16Best for your GPU
16
16.4 GB
MaximumD35

Get started

Upgrade options

Hardware that runs Meta Llama 3.1 8B Instruct well

AppleMacBook Pro M4 Max 96GBBudget pick
C70.5 tok/s decode

~$2,499 MSRP

AppleMac Studio M2 Ultra 128GBBest value
C95.1 tok/s decode

~$3,999 MSRP

AppleMac Studio M3 Ultra 96GBBiggest leap
C114.1 tok/s decode

 

See all results for NVIDIA A16 64GBSee all hardware for Meta Llama 3.1 8B Instruct