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README.md

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 # LLaMA 3 8B fine-tuned on Quaero for Named Entity Recognition (Generative)
 
-This model is a 16-bit merged version of `meta-llama/Meta-Llama-3-8B`, fine-tuned on the Quaero French medical dataset using a generative approach to Named Entity Recognition (NER).
+This model is a 16-bit merged version of [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct), fine-tuned on the [Quaero French medical dataset](https://quaerofrenchmed.limsi.fr/) using a generative approach to Named Entity Recognition (NER).
 
 ## Task
 
-The model was trained to extract entities from French biomedical sentences using a structured, prompt-based format.
+The model was trained to extract entities from French biomedical sentences (medlines) using a structured, prompt-based format.
 
 ## Dataset
 
@@ -35,14 +35,14 @@ The QUAERO French Medical corpus features **overlapping entity spans**, includin
 }
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 ## Evaluation
 
 Evaluation was performed on the test split by comparing the predicted entity set against the ground truth annotations using exact (type, entity) matching.
-
 | Metric    | Score  |
 | --------- | ------ |
 | Precision | 0.6482 |
 | Recall    | 0.6951 |
 | F1 Score  | 0.6709 |
 
+
+This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.