stavh2001/qwen3.5-9b-CS-1st_run
The stavh2001/qwen3.5-9b-CS-1st_run is a 9 billion parameter Qwen3.5 model, developed by stavh2001 and fine-tuned from unsloth/Qwen3.5-9B. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its efficient fine-tuning process.
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Overview
The stavh2001/qwen3.5-9b-CS-1st_run is a 9 billion parameter language model, developed by stavh2001. It is a fine-tuned version of the unsloth/Qwen3.5-9B base model, leveraging efficient training methodologies.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3.5-9B. - Parameter Count: 9 billion parameters.
- Training Efficiency: Achieved 2x faster training speed by utilizing Unsloth and Huggingface's TRL library.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
This model is suitable for various natural language processing tasks where a 9B parameter model provides a good balance between performance and computational resources. Its efficient training suggests it could be a good candidate for further domain-specific fine-tuning or applications requiring a robust, moderately sized language model.