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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 8B Instruct/on NVIDIA H200 141GB

Can it run?

Can NVIDIA H200 141GB run Meta Llama 3 8B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

826.2 tok/s

TTFT

350 ms

Safe context

105K

Memory

21.4 GB / 141.0 GB

Memory breakdown

Weights4.9 GB
KV Cache1.3 GB
Runtime1.2 GB
Headroom14.1 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well826.2 tok/s350 ms199K
ChatCRuns well826.2 tok/s350 ms54K
CodingCRuns well826.2 tok/s350 ms105K
RAGCRuns well826.2 tok/s426 ms199K
ReasoningCRuns well826.2 tok/s350 ms105K

Quantization options

How Meta Llama 3 8B Instruct (8B params) fits at each quantization level on NVIDIA H200 141GB (141.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
LowD30
Q3_K_S
3
3.9 GB
LowD30
NVFP4
4
4.5 GB
MediumD30
Q4_K_M
4
4.9 GB
MediumD30
Q5_K_M
5
5.8 GB
HighD30
Q6_K
6
6.6 GB
HighD30
Q8_0
8
8.6 GB
Very HighD31
F16Best for your GPU
16
16.4 GB
MaximumD32

Get started

Upgrade options

Hardware that runs Meta Llama 3 8B Instruct well

AppleMac Studio M3 Ultra 256GBBudget pick
C114.1 tok/s decode

 

See all results for NVIDIA H200 141GBSee all hardware for Meta Llama 3 8B Instruct