| # Version 2 Release Notes | |
| Version 2 is one multi-task LoRA adapter, distributed as matching PEFT and GGUF | |
| representations. It replaces the current adapter for new integrations while the | |
| v1 GGUF remains available for rollback. | |
| ## Changes | |
| - Improves Food-101 strict accuracy from 86.80% to 87.60% on 500 held-out images. | |
| - Adds experimental visible-ingredient and rough-gram JSON output. | |
| - Keeps nutrition calculation outside the model through USDA FoodData Central | |
| mappings and application rules. | |
| - Preserves rank 8, alpha 16, and the seven original target-module families. | |
| - Validated with the existing Unsloth `UD-Q4_K_XL` base and `mmproj-F16.gguf`. | |
| ## iOS Migration | |
| Update only the adapter download filename to: | |
| ```text | |
| beforeat-food-nutrition-vision-lora-v2-f16.gguf | |
| ``` | |
| Continue to reuse the existing base GGUF and projector, and apply the adapter at | |
| scale `1.0`. Do not load the historical v1 adapter at the same time. | |