---
title: GPTQ-Pro Smoke24 Agentic 3090 Dashboard
emoji: 📊
colorFrom: blue
colorTo: green
sdk: static
app_file: index.html
pinned: true
models:
  - XReyRobert/Qwopus3.6-35B-A3B-v1-GPTQ-Pro
  - XReyRobert/Nex-N2-mini-GPTQ-Pro
  - XReyRobert/Qwopus3.6-27B-Coder-GPTQ-Pro
  - XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256
tags:
  - terminal-bench
  - agentic-workload
  - gptq-pro
  - vllm
  - rtx-3090
  - benchmark
---

# GPTQ-Pro Smoke24 Agentic 3090 Dashboard

Static dashboard for quickly visualizing GPTQ-Pro model positioning on
Terminal-Bench 2.0 Smoke24 in a local RTX 3090-class agentic workload context.

Smoke24 is a fixed 24-task Terminal-Bench 2.0 slice selected as 12 shortest
prior successes and 12 shortest prior failures from the recovery-corrected
Qwopus3.6-27B-v2-GPTQ-Pro-v1 aggregate. It is intended as a fast local-serving
regression and positioning lens, not as a replacement for a full Terminal-Bench
leaderboard submission.

The default dashboard chart keeps the maximum served context row for each local
model family when both 131K and 262K variants exist. The context-specific rows
remain available through the 131K, 262K, and all-row filters.

Terminology used in the dashboard:

- Model serving time: cumulative time spent waiting on LLM/vLLM calls, reported
  per solved task.
- End-to-end task time: full benchmark elapsed time, including agent
  orchestration, shell/tool actions, setup, waits, and verifier flow.
- vLLM decode-only: server-side generation speed, excluding orchestration and
  tool latency.