ermiaazarkhalili/Ornith-1.5-9B-SFT-Fable5
Ornith-1.5-9B-SFT-Fable5 is a 9 billion parameter Qwen3.5-based causal language model developed by ermiaazarkhalili. 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 efficient training methodology to provide a capable and accessible model for various applications.
Loading preview...
Ornith-1.5-9B-SFT-Fable5 Overview
Ornith-1.5-9B-SFT-Fable5 is a 9 billion parameter language model developed by ermiaazarkhalili. It is fine-tuned from the ornith-ai/Ornith-1.5-9B base model and utilizes the Qwen3.5 architecture. A key characteristic of this model's development is its training efficiency, achieved by leveraging Unsloth and Huggingface's TRL library, which enabled a 2x speedup in the fine-tuning process.
Key Capabilities
- Efficiently Trained: Benefits from Unsloth's optimizations for faster fine-tuning.
- Qwen3.5 Architecture: Built upon a robust and capable base model.
- General Language Generation: Suitable for a wide range of text-based tasks.
Good for
- Developers seeking a 9B parameter model with an efficient training lineage.
- Applications requiring a capable language model for text generation and understanding.
- Experimentation with models fine-tuned using advanced training acceleration techniques.