Pranjalps1/Qwen3.5-2b-reasoning-full
VISIONConcurrent Unit Cost:1Model Size:2.3BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 21, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Pranjalps1/Qwen3.5-2b-reasoning-full is a 2.3 billion parameter language model developed by Pranjalps1, fine-tuned from unsloth/Qwen3.5-2B. This model was trained using Unsloth and Huggingface's TRL library, focusing on efficient training. It is designed for general language tasks, leveraging the Qwen3.5 architecture.
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Model Overview
Pranjalps1/Qwen3.5-2b-reasoning-full is a 2.3 billion parameter language model developed by Pranjalps1. It is a fine-tuned version of the unsloth/Qwen3.5-2B base model, leveraging the Qwen3.5 architecture.
Key Characteristics
- Efficient Training: This model was trained with significant efficiency improvements, utilizing the Unsloth library and Huggingface's TRL library, resulting in 2x faster training times.
- Parameter Count: With 2.3 billion parameters, it offers a balance between performance and computational resource requirements.
- License: The model is released under the Apache-2.0 license, allowing for broad usage and distribution.
Potential Use Cases
- General Language Generation: Suitable for various text generation tasks where a compact yet capable model is desired.
- Research and Experimentation: Its efficient training methodology makes it a good candidate for further research into fine-tuning techniques and model optimization.
- Applications requiring faster inference: The smaller parameter count and optimized training suggest potential for faster inference compared to larger models.