Can a NVIDIA RTX 5090 (32GB) run Granite 4.2 8B?

Yes — Granite 4.2 8B runs at FP16 (17.6 GB) at about 61–91 tok/s on a NVIDIA RTX 5090 (32GB).

How much memory does Granite 4.2 8B need?

Granite 4.2 8B needs about 4.9 GB at 4K context at its smallest quantization. A NVIDIA RTX 5090 (32GB) has 32.0 GB.

Yes — Granite 4.2 8B runs on a NVIDIA RTX 5090 (32GB) at FP16

Yes — it runs great.

Runs great

Best fit: Granite 4.2 8B at FP16 · 17.6 GB weights · 61–91 tok/s on a NVIDIA RTX 5090 (32GB).

Arena Text Overall · style-controlled

1,290FP16 untested

granite-4.2-8b · published configuration reference · FP16 not tested

Arena Text Overall (style-controlled), exact published entry granite-4.2-8b, 2026-10-08: reference rating 1,290.2. Published confidence bounds 1,279.1–1,301.4. 3,253 votes. Published granite-4.2-8b configuration reference. Reasoning mode is not disclosed by the Arena dataset. Tested precision, runtime and sampling settings are not disclosed in this dataset. Selected FP16 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: 19.1 GB; Weights + KV cache + runtime overhead
Estimated generation: 61–91 tok/s
Estimated first token: ~1.1s

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.

Granite 4.2 8B quantizations on NVIDIA RTX 5090 (32GB), estimated at 4K context. Weights and total memory are shown separately.
Quant	Weights	Total memory	Speed	Fit
Q2_K	3.4 GB	4.9 GB	172–258 tok/s	Runs great
Q3_K_M	4.4 GB	5.8 GB	153–230 tok/s	Runs great
Q4_K_M	5.4 GB	6.8 GB	137–206 tok/s	Runs great
Q5_K_M	6.3 GB	7.7 GB	126–189 tok/s	Runs great
Q6_K	7.2 GB	8.7 GB	115–173 tok/s	Runs great
Q8_0	9.4 GB	10.8 GB	97–146 tok/s	Runs great
FP16	17.6 GB	19.1 GB	61–91 tok/s	Runs great

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