Local AI · Recipe · 2× RTX 5090

Agents-A1 35B FP8 with vLLM on 2× RTX 5090

Agents-A1 35B FP8 with vLLM on 2× RTX 5090: 218 tok/s according to github.com (dataset as of Nov 3, 2026).

by noonghunna

218tok/sEveryday

1 request, prose prompt, no speculative decoding

Source: github.com
Intelligence (original model) · Artificial Analysisno independent value

Engine

Engine
vLLM v0.24.0 (Messung 2026-07-04)
Quantization
FP8-dynamic compressed-tensors, weight-only Marlin-Dequant (Workaround #548)
Model family
Agents-A1
Context
262,144
Parameters
35B MoE / 3B aktiv
Creator
noonghunna
GitHub stars
2,471
Repo updated
Nov 2, 2026

Measurements

Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.

Decode · 1 request

  • Everyday (decode)218 tok/sKanonischer bench.sh: Narrativ = 800-Wort-Essay (max_tokens 1000), Code = Quicksort (max_tokens 800), T=0.6, 3 Warmups + 5 Läufe, mean wall TPS; wall, decode 220.21, n=5, CV 0.0%, TTFT 49 ms Source 
  • Peak (decode)218 tok/sKanonischer bench.sh: Narrativ = 800-Wort-Essay (max_tokens 1000), Code = Quicksort (max_tokens 800), T=0.6, 3 Warmups + 5 Läufe, mean wall TPS; wall, decode 220.21, n=5, CV 0.0%, TTFT 49 ms Source 

What you need

Hardware
2 × NVIDIA RTX 5090
Weights
Engine
vLLM v0.24.0 (Messung 2026-07-04)
Context
262,144 tokens

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