umitaksoylu/lsda-3b-turkish-dev

Hugging Face
TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Mar 16, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Warm

The umitaksoylu/lsda-3b-turkish-dev is a 3.1 billion parameter Qwen2.5 architecture model developed by umitaksoylu, specifically trained for full-stack development. It excels in C#, SQL, and React, leveraging a curated and artificially augmented dataset for robust coding patterns. The model provides fluent technical explanations and code generation in both English and Turkish, making it ideal for bilingual development environments.

Loading preview...

LSDA-3B-Turkish-Dev: Specialized Full-Stack LLM

LSDA-3B-Turkish-Dev is a 3.1 billion parameter model built on the Qwen2.5 architecture, developed by umitaksoylu. It stands out due to its unique training methodology, utilizing a Curated and Artificially Augmented dataset specifically tailored for modern full-stack development workflows. This approach ensures high-quality weight updates and robust convergence for complex coding patterns, differentiating it from models trained on generic web crawls.

Key Capabilities

  • Deep Specialization: Heavily optimized for C# & .NET (backend architecture, LINQ), SQL (query generation, optimization, DDL/DML), and React (component lifecycle, state management).
  • Bilingual Proficiency: Engineered to maintain high coding standards and provide fluent technical explanations in both English and Turkish, making it suitable for international development teams.
  • Dataset Innovation: The proprietary LSDA Framework includes thousands of cross-referenced examples between backend APIs and frontend components, and augmented query-schema pairs for SQL precision.

Good For

  • Developers working on C#, SQL, and React projects requiring a highly specialized assistant.
  • Teams needing a model that can generate and explain code in both English and Turkish.
  • Generating professional backend architecture, complex SQL queries, and modern React UI logic.

This model is designed as a ready-to-use solution for developers seeking a focused and efficient LLM for their full-stack development tasks.