Dnoya10/dicoding_genAI_expert_adv_eks1

TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 13, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Dnoya10/dicoding_genAI_expert_adv_eks1 is a 1.5 billion parameter Qwen2.5-based instruction-tuned causal language model developed by Dnoya10. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for general instruction-following tasks, leveraging its efficient training methodology.

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Model Overview

Dnoya10/dicoding_genAI_expert_adv_eks1 is a 1.5 billion parameter instruction-tuned language model based on the Qwen2.5 architecture. Developed by Dnoya10, this model was fine-tuned from unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit.

Key Characteristics

  • Efficient Training: This model was trained significantly faster (2x) by utilizing Unsloth and Huggingface's TRL library. Unsloth is known for its optimizations that accelerate the fine-tuning process of large language models.
  • Base Model: Built upon the Qwen2.5 architecture, providing a robust foundation for instruction-following capabilities.
  • Parameter Count: Features 1.5 billion parameters, offering a balance between performance and computational efficiency.

Use Cases

This model is suitable for a variety of general instruction-following tasks where a compact yet capable language model is required. Its efficient training process suggests it could be a good candidate for applications needing rapid iteration or deployment on resource-constrained environments.

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