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Developer fine-tunes Qwen3-1.7B to generate text without the letter 'e'

A developer fine-tuned the open-source Qwen3-1.7B language model on a single 16GB consumer GPU so it could respond to everyday prompts while avoiding the letter 'e' entirely, a style known as a lipogram. The project, documented on GitHub, shows before-and-after examples including a poem about trees that successfully omits 'e' after training. The creator noted the task was difficult because language models process text in tokens rather than letters, making it hard for them to track which characters appear in a word.