RnniaSnow/ST-Coder-14B

TEXT GENERATIONConcurrency Cost:1Model Size:14.8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Feb 16, 2026License:mitArchitecture:Transformer Open Weights Cold

RnniaSnow/ST-Coder-14B is a 14.8 billion parameter code generation model, fine-tuned on Qwen2.5-Coder-14B-Instruct, specifically optimized for Industrial Automation tasks. It excels in generating IEC 61131-3 Structured Text (ST) code, understanding PLC logic, IEC 61131-3 syntax, and industrial protocols. This model is designed for developers working with PLCs and industrial control systems, offering specialized code generation for this domain.

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ST-Coder-14B: Specialized Industrial Automation Code Generation

ST-Coder-14B is a 14.8 billion parameter model, fine-tuned from Qwen2.5-Coder-14B-Instruct, with a 32768 token context window. It is uniquely specialized for Industrial Automation and the IEC 61131-3 Structured Text (ST) programming language.

Key Capabilities

  • Domain-Specific Code Generation: Generates high-quality ST code for industrial applications.
  • PLC Logic Understanding: Comprehends complex PLC concepts such as PID control, motion control, safety logic, and state machines.
  • IEC 61131-3 Syntax Adherence: Follows strict ST syntax, including FUNCTION_BLOCK, VAR_INPUT, VAR_OUTPUT, and type rules.
  • Industrial Protocol Knowledge: Understands Modbus, TCP/IP socket handling in ST, and vendor-specific nuances (Codesys, TwinCAT, Siemens SCL).
  • Training Data: Utilizes a mix of verified ST code from real-world projects and high-quality synthetic data generated via DeepSeek-V3 distillation.

Good For

  • Industrial Automation Engineers: Automating code generation for Programmable Logic Controllers (PLCs).
  • Structured Text Development: Creating or assisting with ST code for various industrial control systems.
  • Prototyping & Development: Accelerating the development of industrial control logic.

Disclaimer: Due to the physical risks associated with Industrial Control Systems, generated code must always be verified, simulated, and tested in a safe environment before deployment. The authors disclaim liability for any damages.