Instruction Following Text Generation With Supervised Fine Tuning

via “instruction-following text generation with multi-turn conversation support”

text-generation model by undefined. 1,00,53,835 downloads.

Unique: Qwen3-4B uses a 32-layer transformer architecture with optimized attention patterns specifically tuned for instruction-following at the 4B parameter scale, achieving competitive performance on instruction benchmarks (MMLU, IFEval) despite 50% smaller size than comparable models like Llama 3.2-7B

vs others: Smaller footprint than Llama 3.2-7B or Mistral-7B with comparable instruction-following quality, making it ideal for edge deployment; stronger instruction alignment than generic 4B models like TinyLlama due to supervised fine-tuning on diverse instruction datasets