jtmaxsoft/OFKMS-Migration-Qwen3.5-9B-DPO

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Mar 22, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

jtmaxsoft/OFKMS-Migration-Qwen3.5-9B-DPO is an 8 billion parameter language model developed by TmaxSoft Japan, fine-tuned from Qwen3.5-9B. This specialized model excels at mainframe migration design tasks, specifically for COBOL, JCL, and Assembler, leveraging a proprietary migration knowledge base. It is optimized for tasks such as source pattern analysis, migration rule generation, and error diagnosis in Japanese, Korean, and English.

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Overview

This model, jtmaxsoft/OFKMS-Migration-Qwen3.5-9B-DPO, is an 8 billion parameter language model developed by TmaxSoft Japan. It is fine-tuned from the Qwen3.5-9B base model using QLoRA with DPO (Direct Preference Optimization) to specialize in mainframe migration design. The training data comprised 1,288 SFT entries and 1,288 DPO pairs, derived from TmaxSoft Japan's proprietary migration knowledge base.

Key Capabilities

  • COBOL/JCL/Assembler Migration Design: Specialized in analyzing and converting legacy mainframe code.
  • Pattern Analysis: Identifies COBOL source patterns and generates conversion rules.
  • JCL to OpenFrame JCL Migration: Facilitates the transformation of JCL scripts.
  • Assembler to C/OFASM Migration: Supports the conversion of Assembler code.
  • Documentation Generation: Aids in creating migration design documents.
  • Error Diagnosis: Capable of diagnosing ABEND codes and JES messages.
  • Multilingual Support: Primarily Japanese, with support for Korean and English.

Training Details

The model was trained for 3 epochs using QLoRA (rank=64, alpha=128) with a learning rate of 2e-5. Approximately 174 million (2.09%) of the 8.4 billion parameters were trainable.

Good For

This model is ideal for organizations undertaking mainframe modernization or migration projects, particularly those dealing with legacy COBOL, JCL, and Assembler codebases. Its specialization makes it highly effective for automating aspects of migration design, analysis, and troubleshooting, offering a targeted solution for complex legacy system transformations.