Local AI · Recipe · 2× RTX 3090

Agents-A1 35B FP8 with vLLM on 2× RTX 3090

Agents-A1 35B FP8 with vLLM on 2× RTX 3090: 151 tok/s according to github.com (dataset as of Nov 3, 2026).

by noonghunna

151tok/sEveryday

1 request, prose prompt, no speculative decoding

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

Engine

Engine
vLLM
Quantization
FP8-dynamic compressed-tensors (offiziell InternScience); auf Ampere weight-only Marlin
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)151 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 154.0, n=3, CV 0.1%, TTFT 130 ms Source 
  • Peak (decode)151 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 154.0, n=3, CV 0.1%, TTFT 130 ms Source 

What you need

Hardware
2 × NVIDIA RTX 3090
Weights
Engine
vLLM
Context
262,144 tokens

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