how3751/Planner_3B_1.2
The how3751/Planner_3B_1.2 is a 3.1 billion parameter Qwen2.5-based causal language model developed by how3751. This instruction-tuned model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its efficient training methodology for practical applications.
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Model Overview
The how3751/Planner_3B_1.2 is a 3.1 billion parameter language model based on the Qwen2.5 architecture, developed by how3751. This model is an instruction-tuned variant, fine-tuned from unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Based on the Qwen2.5 model family.
- Parameter Count: Features 3.1 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 compared to standard methods.
- Context Length: Supports a context window of 32768 tokens, allowing for processing longer inputs and generating more coherent responses.
Intended Use Cases
This model is suitable for a variety of general-purpose language understanding and generation tasks, benefiting from its instruction-tuned nature and efficient training. Its optimized training process makes it a practical choice for developers looking for a capable model in the 3 billion parameter class.