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Model: abyrne55/nuextract-1.5-tiny-mealie-ingredient-parser
Source: Original Platform

README.md

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+---
+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)