| Model Type | |
| Use Cases | |
| Additional Notes | | Bllossom is a robust model for Korean-English bilingual tasks, incorporating advanced methodologies such as ELO pre-training and custom instruction tuning. The model facilitates commercial applications and offers advanced analytics for multilingual processing. |
|
| Supported Languages | | en (English), ko (Korean) |
|
| Training Details |
| Data Sources: | | Korean-English Parallel Corpus, Human Feedback |
|
| Data Volume: | |
| Methodology: | | Instruction Tuning, Vocabulary Expansion, Knowledge Linking |
|
| Model Architecture: | | Vision-Language Alignment |
|
|
| Input Output |
| Input Format: | |
| Accepted Modalities: | |
|
| Release Notes |
| Date: | |
| Notes: | | Update based on Llama3.1 model; performance enhancements. |
|
| Version: | |
| Date: | |
| Notes: | | Increased pre-training data and improved performance. |
|
|
|