how3751/Planner_3B_1.3
The how3751/Planner_3B_1.3 is a 3.1 billion parameter Qwen2.5-based causal language model developed by how3751, fine-tuned from unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. With a 32768 token context length, it is optimized for planning-related tasks.
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how3751/Planner_3B_1.3 Overview
This model, developed by how3751, is a 3.1 billion parameter language model fine-tuned from the unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit base. It leverages the Qwen2.5 architecture and features a substantial context length of 32768 tokens.
Key Characteristics
- Base Model: Fine-tuned from a Qwen2.5-3B-Instruct variant.
- Training Efficiency: The fine-tuning process was accelerated using Unsloth and Huggingface's TRL library, resulting in 2x faster training.
- Context Window: Supports a large context of 32768 tokens, beneficial for tasks requiring extensive input or memory.
Potential Use Cases
Given its architecture and training methodology, this model is suitable for applications where efficient fine-tuning and a large context window are advantageous. Its "Planner" designation suggests an optimization for tasks involving sequential decision-making, task decomposition, or strategic planning within a given context.