Model: abyrne55/nuextract-1.5-tiny-mealie-ingredient-parser Source: Original Platform
license, base_model, tags, pipeline_tag
| license | base_model | tags | pipeline_tag | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| mit | numind/NuExtract-1.5-tiny |
|
text-generation |
NuExtract-1.5-tiny Fine-tuned for Mealie Ingredient Parsing
LoRA fine-tuned version of numind/NuExtract-1.5-tiny (Qwen2.5-0.5B) for structured ingredient extraction in mealie-llm-server.
Usage
Set MODEL_INGREDIENT_EXTRACTOR to the local GGUF path:
MODEL_INGREDIENT_EXTRACTOR=models/nuextract-1.5-tiny-finetuned-q8_0.gguf
The model expects the NuExtract 1.5 template format:
<|input|>
### Template:
{
"quantity": "",
"unit": "",
"food": "",
"note": ""
}
### Text:
1 cup arborio rice
<|output|>
Use constrained grammar during inference for best results.
Training
- Method: LoRA (rank 16, alpha 32) targeting q/k/v/o projections
- Framework: HuggingFace
trl.SFTTrainer+peft - Dataset: mealie-llm-server/training/ingredients.md
Description