koutch/paper_qwen_qwen3-instruct-4b_train_sft_all_train_code
The koutch/paper_qwen_qwen3-instruct-4b_train_sft_all_train_code is a 4 billion parameter Qwen3-based instruction-tuned language model developed by koutch. This model was fine-tuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general instruction-following tasks, leveraging its efficient training methodology.
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Model Overview
The koutch/paper_qwen_qwen3-instruct-4b_train_sft_all_train_code is a 4 billion parameter instruction-tuned language model based on the Qwen3 architecture. Developed by koutch, this model was fine-tuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Qwen3-based, 4 billion parameters.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- License: Released under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of general instruction-following tasks, benefiting from its efficient fine-tuning process. Its Qwen3 foundation provides a robust base for conversational AI, text generation, and other natural language processing applications.