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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/Meta Llama 3.1 8B Instruct/on Mac mini M4 64GB

Can it run?

Can Mac mini M4 64GB run Meta Llama 3.1 8B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

17.7 tok/s

TTFT

10935 ms

Safe context

52K

Memory

14.2 GB / 46.1 GB

Memory breakdown

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

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well17.7 tok/s15905 ms95K
ChatCRuns well17.7 tok/s5964 ms27K
CodingCRuns well17.7 tok/s10935 ms52K
RAGCRuns well17.7 tok/s19881 ms95K
ReasoningCRuns well17.7 tok/s12923 ms52K

Quantization options

How Meta Llama 3.1 8B Instruct (8B params) fits at each quantization level on Mac mini M4 64GB (46.1 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
LowD31
Q3_K_S
3
3.9 GB
LowD31
NVFP4
4
4.5 GB
MediumD32
Q4_K_M
4
4.9 GB
MediumD32
Q5_K_M
5
5.8 GB
HighD32
Q6_K
6
6.6 GB
HighD33
Q8_0
8
8.6 GB
Very HighD34
F16Best for your GPU
16
16.4 GB
MaximumD37

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

AppleMacBook Pro M3 Max 128GBBest value
C49.2 tok/s decode

~$2,499 MSRP

AppleMac Studio M2 Ultra 128GBApple upgrade
C95.1 tok/s decode

~$3,999 MSRP

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

 

See all results for Mac mini M4 64GBSee all hardware for Meta Llama 3.1 8B Instruct