Activate997/ornith-1.5-9b-finetuned
Activate997/ornith-1.5-9b-finetuned is a 9 billion parameter Qwen3.5-based causal language model developed by Activate997. This model was finetuned from ornith-ai/Ornith-1.5-9B, leveraging Unsloth and Huggingface's TRL library for accelerated training. It is optimized for general language tasks, benefiting from its efficient finetuning process.
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Model Overview
Activate997/ornith-1.5-9b-finetuned is a 9 billion parameter language model developed by Activate997. It is based on the Qwen3.5 architecture and was finetuned from the ornith-ai/Ornith-1.5-9B model. This finetuning process was notably accelerated, achieving 2x faster training speeds by utilizing the Unsloth library in conjunction with Huggingface's TRL library.
Key Characteristics
- Architecture: Qwen3.5-based, providing a robust foundation for various language understanding and generation tasks.
- Parameter Count: 9 billion parameters, offering a balance between performance and computational efficiency.
- Efficient Finetuning: Benefits from Unsloth's optimization, which allows for quicker iteration and deployment of finetuned models.
- License: Distributed under the Apache-2.0 license, promoting open and flexible use.
Use Cases
This model is suitable for a range of general-purpose language tasks where a 9B parameter model provides sufficient capability. Its efficient training methodology suggests it could be a good candidate for applications requiring custom finetuning on specific datasets without extensive computational resources.