hafidhsoekma/gasing-sota-16bit
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kLicense:apache-2.0Architecture:Transformer Open Weights Cold
The hafidhsoekma/gasing-sota-16bit is an 8 billion parameter Qwen3-based 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 generation tasks, leveraging its Qwen3 architecture for robust performance.
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Overview
The hafidhsoekma/gasing-sota-16bit is an 8 billion parameter language model based on the Qwen3 architecture. Developed by hafidhsoekma, this model was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library. A key characteristic of its development process is the reported 2x faster training speed achieved through these optimizations.
Key Capabilities
- Qwen3 Architecture: Leverages the robust capabilities of the Qwen3 model family.
- Optimized Training: Benefits from accelerated fine-tuning using Unsloth, indicating efficiency in model development.
- General Language Generation: Suitable for a wide range of natural language processing tasks.
Good For
- Developers seeking an 8B parameter Qwen3-based model for various language generation applications.
- Use cases where efficient fine-tuning processes are beneficial.