rizkyayub/rizbuy-submission-qwen3-indonesian
TEXT GENERATIONConcurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 13, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The rizkyayub/rizbuy-submission-qwen3-indonesian is a 4 billion parameter Qwen3-based causal language model developed by rizkyayub. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general text generation tasks, leveraging its Qwen3 architecture for efficient performance.
Loading preview...
Model Overview
The rizkyayub/rizbuy-submission-qwen3-indonesian is a 4 billion parameter language model based on the Qwen3 architecture. Developed by rizkyayub, this model was fine-tuned from unsloth/qwen3-4b-unsloth-bnb-4bit.
Key Characteristics
- Base Model: Qwen3-4B, a robust foundation for various NLP tasks.
- Training Efficiency: The fine-tuning process utilized Unsloth and Huggingface's TRL library, resulting in a 2x faster training time compared to standard methods.
- Parameter Count: Features 4 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context window of 32768 tokens, allowing for processing longer inputs and generating coherent, extended outputs.
Potential Use Cases
- General Text Generation: Suitable for a wide range of text generation applications.
- Research and Development: Provides a fine-tuned Qwen3 model for further experimentation and adaptation.
- Resource-Efficient Deployment: Its 4B parameter size and optimized training suggest potential for more efficient deployment in certain scenarios.