Pranjalps1/Qwen3.5-2B-think
Pranjalps1/Qwen3.5-2B-think is a 2.3 billion parameter Qwen3.5 model developed by Pranjalps1, finetuned from unsloth/Qwen3.5-2B. This model was trained using Unsloth and Huggingface's TRL library, enabling faster finetuning. It is designed for general text generation tasks, leveraging its efficient training methodology.
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Overview
Pranjalps1/Qwen3.5-2B-think is a 2.3 billion parameter language model, finetuned by Pranjalps1 from the base model unsloth/Qwen3.5-2B. This model benefits from an optimized training process, having been finetuned 2x faster using the Unsloth library in conjunction with Huggingface's TRL library. It operates under an Apache-2.0 license.
Key Characteristics
- Base Architecture: Qwen3.5
- Parameter Count: 2.3 billion
- Context Length: 32768 tokens
- Training Efficiency: Utilizes Unsloth for accelerated finetuning.
Use Cases
This model is suitable for various text generation tasks where a compact yet capable model is required. Its efficient training suggests it could be a good candidate for applications needing rapid deployment or iteration on finetuned models.