---
license: mit
base_model: numind/NuExtract-1.5-tiny
tags:
  - gguf
  - ingredient-parsing
  - nuextract
  - mealie
  - lora
  - qwen2
  - text-generation
pipeline_tag: text-generation
---

# NuExtract-1.5-tiny Fine-tuned for Mealie Ingredient Parsing

LoRA fine-tuned version of [numind/NuExtract-1.5-tiny](https://huggingface.co/numind/NuExtract-1.5-tiny) (Qwen2.5-0.5B) for structured ingredient extraction in [mealie-llm-server](https://github.com/abyrne55/mealie-llm-server).

## Usage

Set `MODEL_INGREDIENT_EXTRACTOR` to the local GGUF path:

```bash
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](https://github.com/ggml-org/llama.cpp/blob/master/grammars/README.md) 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](https://github.com/abyrne55/mealie-local-ai/blob/main/training/ingredients.md)