Machine Translation (es-eo) on FLORES+
49.57ChrF++NLLB-200-3.3B
Evaluation results
| Method | Links | |
|---|---|---|
| NLLB-200-3.3BModel Category=Neural MT, Parameters=3.3B2026.03 | 49.57 | |
| NLLB-200-distilled-1.3BModel Category=Neural MT, Parameters=1.3B, Strategy=distilled2026.03 | 49.34 | |
| NLLB-200-1.3BModel Category=Neural MT, Parameters=1.3B2026.03 | 49.22 | |
| NLLB-200-distilled-600MModel Category=Neural MT, Parameters=600M, Strategy=distilled2026.03 | 48.32 | |
| Llama-3.1-8B-Instruct-FTModel Category=Fine-tuned General-purpose LLMs, Parameters=8B2026.03 | 46.64 | |
| Transformer-baseModel Category=Neural MT from Scratch, Parameters=60.6M2026.03 | 45.97 | |
| Transformer-tinyModel Category=Neural MT from Scratch, Parameters=17.4M2026.03 | 45.33 | |
| Llama-3.1-8B-InstructModel Category=General-purpose LLMs, Parameters=8B2026.03 | 44.78 | |
| ApertiumModel Category=Rule-based MT2026.03 | 42.68 | |
| Tower-Plus-9BModel Category=MT-tuned LLMs, Parameters=9B2026.03 | 40.38 | |
| TowerInstruct-7B-v0.2Model Category=MT-tuned LLMs, Parameters=7B2026.03 | 25.65 |