khubaib-farhan/studybuddy-qwen3-merged
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Jan 9, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The khubaib-farhan/studybuddy-qwen3-merged is a 4 billion parameter Qwen3 instruction-tuned causal language model, developed by khubaib-farhan. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its Qwen3 architecture for robust performance.
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Model Overview
The khubaib-farhan/studybuddy-qwen3-merged is a 4 billion parameter instruction-tuned language model based on the Qwen3 architecture. Developed by khubaib-farhan, this model was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library, which facilitated a 2x faster training process.
Key Capabilities
- Qwen3 Architecture: Leverages the robust capabilities of the Qwen3 base model.
- Instruction-Tuned: Optimized for following instructions and generating coherent responses.
- Efficient Training: Benefits from Unsloth's optimizations for faster fine-tuning.
Good For
- General text generation tasks.
- Applications requiring an instruction-following language model.
- Scenarios where a 4B parameter model offers a balance of performance and efficiency.