Overview

hnda/qwen3-4b-alf-sft-merged-v2 is a 4 billion parameter language model developed by hnda, building upon the Qwen3 architecture. This model is a fine-tuned version of hnda/qwen3-4b-alf-sft-merged.

Key Capabilities

• Efficient Training: Achieved 2x faster training speed by leveraging Unsloth and Huggingface's TRL library.
• Qwen3 Architecture: Benefits from the robust base architecture of Qwen3 models.
• General Purpose: Suitable for a wide range of natural language processing tasks.

Good for

• Applications requiring a compact yet capable language model.
• Scenarios where training efficiency is a critical factor.
• Developers looking for a Qwen3-based model with optimized fine-tuning.