Deploy Sulphur-2-base

Deploy Sulphur-2-base

Running this model locally is fastest when deployed through a PowerShell script.

Kindly follow the on-screen instructions below.

An automated background process downloads all required large-scale files.

The configuration wizard runs silently to set up the model for peak performance.

🗂 Hash: 2b292870ad61c5104dc586a392ff2455Last Updated: 2026-07-04



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: 100 GB for multi-modal model vision components
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

Sulphur-2-base is a next‑generation language model designed to excel in scientific reasoning and code generation. It leverages an enhanced transformer architecture with a 2‑trillion‑parameter base, enabling unprecedented contextual depth. The model incorporates specialized fine‑tuning for chemistry and physics domains, delivering high‑fidelity predictions with reduced hallucinations. Performance benchmarks show a 15% improvement over prior Sulphur variants in multi‑step problem solving. Below is a quick comparison of key specifications against its nearest competitor:

Metric Sulphur-2-base Competitor X
Parameters 2 trillion 1.5 trillion
Domain Accuracy 92% 84%
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