llamaperf

Nemotron 3.5 Bolt

1 report

Nemotron 3.5 Bolt VRAM requirements by size and quant →

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Reported performance for Nemotron 3.5 Bolt

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Tone: mixedNVIDIA hardware
generation:
343.0 tokens/s
quant:
IQ2_XXS (GGUF)
kv:
q8_0

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

agentictool-usecoding

User reports Nemotron 3.5 Bolt 74B-A9B at 343 t/s generation on an RTX 5090 32GB, median of 15 runs (303 to 354). Setup is llama.cpp b11750 with NVIDIA's IQ2_XXS GGUF, q8_0 KV cache, 32K context, single stream, and the LiLiCorr drafter at 55% acceptance; 25.0 GiB of VRAM with the drafter and projector. Without the drafter it runs 166 t/s at 22.7 GiB, and 21.0 GiB without drafter or projector. llama-bench gives pp512 5,166 t/s and tg128 172 t/s. On a 33-task DevOps tool-use eval it passed 26 of 33 (79%, score 0.88) with zero safety failures, 54% unrecorded tool calls and 28.3 GiB VRAM at four slots.

Oct 20, 2026

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Reported configurations

Individual observations from this page, not expected speeds or a ranking. Select a model to open its report, with the source and offloading conditions. Reported context may be a limit rather than actual input length.

Model / hardwareQuant / engineReported contextGeneration
Nemotron 3.5 Bolt 74B (9B active)
NVIDIA RTX 5090
IQ2_XXS
llama.cpp
32,768343.0 tokens/s