bralynn/qagen
The bralynn/qagen is a 4 billion parameter instruction-tuned causal language model, finetuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit. Developed by bralynn, this model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general language generation tasks, leveraging its Qwen3 base architecture.
Loading preview...
Model Overview
The bralynn/qagen is a 4 billion parameter instruction-tuned language model developed by bralynn. It is finetuned from the unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit base model, indicating its foundation in the Qwen3 architecture.
Key Characteristics
- Base Model: Finetuned from
unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit. - Training Efficiency: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Parameter Count: Features 4 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a context length of 32768 tokens.
Intended Use Cases
This model is suitable for various natural language processing tasks, particularly those benefiting from instruction-tuned capabilities. Its efficient training process suggests it could be a good candidate for applications requiring rapid deployment or iteration on fine-tuned models.