Can a NVIDIA A100 (80GB) run Llama 3.1 8B?

Yes — Llama 3.1 8B runs at Q8_0 (8.5 GB) at about 114–171 tok/s on a NVIDIA A100 (80GB).

How much memory does Llama 3.1 8B need?

Llama 3.1 8B needs about 4.5 GB at 4K context at its smallest quantization. A NVIDIA A100 (80GB) has 80.0 GB.

Yes — Llama 3.1 8B runs on a NVIDIA A100 (80GB) at Q8_0

Yes — it runs great.

Runs great

Best fit: Llama 3.1 8B at Q8_0 · 8.5 GB weights · 114–171 tok/s on a NVIDIA A100 (80GB).

Arena Text Overall · style-controlled

1,211Q8_0 untested

llama-3.1-8b-instruct · published configuration reference · Q8_0 not tested

Arena Text Overall (style-controlled), exact published entry llama-3.1-8b-instruct, 2026-10-08: reference rating 1,211.3. Published confidence bounds 1,207.1–1,215.4. 49,605 votes. Published llama-3.1-8b-instruct configuration reference. Reasoning mode is not disclosed by the Arena dataset. Tested precision, runtime and sampling settings are not disclosed in this dataset. Selected Q8_0 has not been measured by this Arena entry. No quantization quality adjustment is applied.

Snapshot published 2026-10-08 · snapshot imported 2026-10-11 UTC · validated last-good data · manual refresh

Arena leaderboard dataset · Arena / lmarena-ai, Arena Leaderboard Dataset (CC BY 4.0). Selected Text Overall style-controlled rows; field names adapted, ratings unchanged. · dataset CC BY 4.0 · revision e16f90232986

Total memory at 4K context: 9.9 GB; Weights + KV cache + runtime overhead
Estimated generation: 114–171 tok/s
Estimated first token: ~0.7s

Every quantization on this machine

On small screens, each quant lists every metric below its name. On wider screens, scroll sideways for total memory, speed and fit. Keyboard: focus the table, then use the arrow keys. Quant names stay visible.

Llama 3.1 8B quantizations on NVIDIA A100 (80GB), estimated at 4K context. Weights and total memory are shown separately.
Quant	Weights	Total memory	Speed	Fit
Q2_K	3.2 GB	4.5 GB	193–289 tok/s	Runs great
Q3_K_M	4.0 GB	5.4 GB	174–261 tok/s	Runs great
Q4_K_M	4.9 GB	6.3 GB	157–236 tok/s	Runs great
Q5_K_M	5.7 GB	7.1 GB	145–218 tok/s	Runs great
Q6_K	6.6 GB	7.9 GB	134–201 tok/s	Runs great
Q8_0	8.5 GB	9.9 GB	114–171 tok/s	Runs great

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