Korean test Korean test beomi/llama-2-ko-7b Text Generation • 7B • Updated Dec 27, 2023 • 1.69k • 176 google/gemma-7b-it Text Generation • 9B • Updated Aug 14, 2024 • 85.2k • 1.23k rtzr/ko-gemma-2-9b-it Text Generation • 9B • Updated Jul 15, 2024 • 155 • • 90 google/gemma-3-12b-it Image-Text-to-Text • 12B • Updated Mar 21, 2025 • 1.32M • • 618
paper SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding Paper • 2408.15545 • Published Aug 28, 2024 • 38 Spectrum: Targeted Training on Signal to Noise Ratio Paper • 2406.06623 • Published Jun 7, 2024 • 15 Cut Your Losses in Large-Vocabulary Language Models Paper • 2411.09009 • Published Nov 13, 2024 • 49
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding Paper • 2408.15545 • Published Aug 28, 2024 • 38
Korean test Korean test beomi/llama-2-ko-7b Text Generation • 7B • Updated Dec 27, 2023 • 1.69k • 176 google/gemma-7b-it Text Generation • 9B • Updated Aug 14, 2024 • 85.2k • 1.23k rtzr/ko-gemma-2-9b-it Text Generation • 9B • Updated Jul 15, 2024 • 155 • • 90 google/gemma-3-12b-it Image-Text-to-Text • 12B • Updated Mar 21, 2025 • 1.32M • • 618
paper SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding Paper • 2408.15545 • Published Aug 28, 2024 • 38 Spectrum: Targeted Training on Signal to Noise Ratio Paper • 2406.06623 • Published Jun 7, 2024 • 15 Cut Your Losses in Large-Vocabulary Language Models Paper • 2411.09009 • Published Nov 13, 2024 • 49
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding Paper • 2408.15545 • Published Aug 28, 2024 • 38
