Model Type | translation, comprehension |
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Use Cases |
Areas: | Research, Commercial applications |
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Applications: | Translation, Comprehension |
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Additional Notes | Future plans include SLERP merging and potentially creating larger models using MergeKit. |
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Supported Languages | Hebrew (understands and comprehends), English (decents translation) |
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Training Details |
Methodology: | used SOTA techniques and personal insights |
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Model Architecture: | Based on Mistral 7B, tokenizer not altered. |
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Input Output |
Input Format: | Debug-deterministic with specified parameters. |
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Accepted Modalities: | |
Performance Tips: | No specific tips provided beyond using the recommended prompt settings. |
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Release Notes |
Version: | |
Date: | |
Notes: | Acquired the highest SNLI score among open source models in Hebrew. |
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