fangevo/KD-efficient-text-summarization
The project leverages a larger model, Qwen2.5-14B, to generate high-quality reference summaries, which are then used to fine-tune the SLM (Qwen2.5-0.5B), enabling the SLM to generate accurate news summaries. The LLM is optimized to run efficiently on free Google Colab (15GB VRAM), using 4-bit quantization and LoRA.
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Stars
7
Forks
1
Language
Python
License
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Last pushed
Feb 11, 2026
Commits (30d)
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