Local AI · Recipe · 4× RTX 3090

Laguna-S-2.1 INT4 with vLLM on 4× RTX 3090

Laguna-S-2.1 INT4 with vLLM on 4× RTX 3090: 87.5 tok/s according to github.com (dataset as of Nov 3, 2026).

by alesha-pro

87.5tok/sMixed

1 request, mixed prompt set, with Draft

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

Engine

Engine
vLLM 0.25.0
Quantization
INT4 (compressed-tensors, poolside) + FP8 KV; Draft DFlash-INT4
Model family
Laguna-S-2.1
Context
131,456
Creator
alesha-pro
GitHub stars
2
Repo updated
Jul 22, 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

  • Mixed (decode)87.5 tok/scontext 512 in / 256 out (random) · Vllm bench serve, Random-Token-Synthetik, ignore-eos, 8 Prompts, 1 Iteration; Acceptance 0.222 (Worst Case für Draft) Source 
  • Peak (decode)152 tok/s8 feste Coding-Prompts, greedy temp 0, 512-Token-Antworten, Median decode tok/s; Acceptance 0.4737, 3.316 akzeptierte Tokens/Runde; Target-only 99.03025782456129 Source 

Prefill by context

  • 128K1,639 tok/sTarget-only depth-131072x256-c1 prefill_tok_s; TTFT 80730.31884105876 ms Source 

What you need

Hardware
4 × NVIDIA RTX 3090
Weights
Engine
vLLM 0.25.0
Context
131,456 tokens

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