hafidhsoekma/gasing-sota_edu-16bit
The hafidhsoekma/gasing-sota_edu-16bit is an 8 billion parameter Qwen3 causal language model developed by hafidhsoekma. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture for efficient processing.
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Model Overview
The hafidhsoekma/gasing-sota_edu-16bit is an 8 billion parameter Qwen3-based causal language model developed by hafidhsoekma. This model was fine-tuned from unsloth/Qwen3-8B-unsloth-bnb-4bit using the Unsloth library, which facilitated a 2x speedup in the training process, and Huggingface's TRL library.
Key Characteristics
- Architecture: Qwen3, a powerful transformer-based architecture.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Leverages Unsloth for accelerated fine-tuning, making it a cost-effective option for deployment.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Potential Use Cases
This model is suitable for a variety of general-purpose natural language processing tasks, particularly where the Qwen3 architecture's strengths are beneficial. Its efficient training process suggests it could be a good candidate for applications requiring rapid iteration or deployment on resource-constrained environments.