Damilya/qwen3-4b-kazakh-lora

TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 27, 2026License:cc-by-nc-4.0Architecture:Transformer Open Weights Gated Featherless Exclusive Cold

Damilya/qwen3-4b-kazakh-lora is a 4 billion parameter LoRA fine-tune of the Qwen3-4B-Instruct-2507 model, developed by Damilya. This model is specifically optimized to improve Kazakh-language fidelity and menu-context faithfulness compared to its base model. It is designed for applications requiring enhanced performance in the Kazakh language.

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Damilya/qwen3-4b-kazakh-lora Overview

Damilya/qwen3-4b-kazakh-lora is a specialized language model, built as a LoRA (Low-Rank Adaptation) fine-tune of the Qwen3-4B-Instruct-2507 base model. With 4 billion parameters and a context length of 32768 tokens, this model focuses on enhancing performance for specific linguistic and contextual tasks.

Key Capabilities

  • Improved Kazakh-language Fidelity: Addresses and rectifies issues present in the base model concerning the accuracy and naturalness of the Kazakh language.
  • Enhanced Menu-Context Faithfulness: Specifically fine-tuned to better understand and adhere to menu-related contexts, ensuring more relevant and accurate responses in such scenarios.

Good For

  • Applications requiring high-quality Kazakh language generation and understanding.
  • Use cases where accurate interpretation and generation within menu-driven interfaces are critical.

This model is released under the CC BY-NC 4.0 license, indicating non-commercial use, while its base model operates under Apache 2.0.

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