Tokenization (NSL score) on Marathi (mr)
2.35NSL ScoreQwen-3
Evaluation Results
| Method | Links | |
|---|---|---|
| Qwen-3Reference Model=Base LLaMA-42025.11 | 2.35 | |
| DeepSeek-R1Reference Model=Base LLaMA-42025.11 | 1.49 | |
| LLaMA-3.2-1BReference Model=Base LLaMA-42025.11 | 1.41 | |
| Mistral-NemoReference Model=Base LLaMA-42025.11 | 1.13 | |
| LLaMA-4Reference Model=Base LLaMA-42025.11 | 1 | |
| GPT-OSSReference Model=Base LLaMA-42025.11 | 0.94 | |
| SutraReference Model=Base LLaMA-42025.11 | 0.84 | |
| Gemma-3Reference Model=Base LLaMA-42025.11 | 0.76 | |
| SarvamReference Model=Base LLaMA-42025.11 | 0.72 | |
| MUTANT-IndicReference Model=Base LLaMA-42025.11 | 0.61 |