nnsohamnn/qwen_merged_5k
The nnsohamnn/qwen_merged_5k is a 4 billion parameter Qwen3 instruction-tuned causal language model developed by nnsohamnn. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is optimized for general instruction-following tasks, leveraging the Qwen3 architecture for efficient performance.
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Overview
The nnsohamnn/qwen_merged_5k is a 4 billion parameter Qwen3 instruction-tuned language model. Developed by nnsohamnn, this model was fine-tuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit.
Key Characteristics
- Base Model: Qwen3 architecture.
- Parameter Count: 4 billion parameters.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Released under the Apache-2.0 license.
Use Cases
This model is suitable for general instruction-following applications where a compact yet capable Qwen3-based model is desired. Its efficient training methodology suggests potential for rapid iteration and deployment in various NLP tasks.