Ahana05/qwen2.5-astrologer-model
Ahana05/qwen2.5-astrologer-model is a 7.6 billion parameter Qwen2.5-based causal language model developed by Ahana05. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging its Qwen2.5 architecture for broad applicability.
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Model Overview
Ahana05/qwen2.5-astrologer-model is a 7.6 billion parameter language model built upon the Qwen2.5 architecture. Developed by Ahana05, this model was fine-tuned from unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Based on the Qwen2.5 family of models.
- Parameter Count: 7.6 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Context Length: Supports a context length of 32768 tokens.
- License: Released under the Apache-2.0 license.
Intended Use Cases
This model is suitable for a variety of general instruction-following tasks, benefiting from its Qwen2.5 foundation and efficient fine-tuning. Its optimized training process suggests it could be a good candidate for applications requiring a capable language model with a focus on efficient development and deployment.