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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 MacBook Pro M4 Max 96GB

Can it run?

Can MacBook Pro M4 Max 96GB run Meta Llama 3.1 8B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

70.5 tok/s

TTFT

2747 ms

Safe context

62K

Memory

17.7 GB / 69.1 GB

Memory breakdown

Weights4.9 GB
KV Cache1.3 GB
Runtime1.2 GB
Headroom10.4 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well70.5 tok/s3995 ms117K
ChatCRuns well70.5 tok/s1498 ms32K
CodingCRuns well70.5 tok/s2747 ms62K
RAGCRuns well70.5 tok/s4994 ms117K
ReasoningCRuns well70.5 tok/s3246 ms62K

Quantization options

How Meta Llama 3.1 8B Instruct (8B params) fits at each quantization level on MacBook Pro M4 Max 96GB (69.1 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
LowD30
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

AppleMac Studio M2 Ultra 128GBBudget pick
C95.1 tok/s decode

~$3,999 MSRP

AppleMac Studio M1 Ultra 128GBBest value
C90.2 tok/s decode

~$3,999 MSRP

See all results for MacBook Pro M4 Max 96GBSee all hardware for Meta Llama 3.1 8B Instruct