safetensors llama en dataset:zjunlp/iepile base_model:meta-llama/Llama-3.1-70B-Instruct base_model:quantized:meta-llama/Llama-3.1-70B-Instruct license:mit 4-bit bitsandbytes region:us
---
base_model:
- meta-llama/Llama-3.1-70B-Instruct
datasets:
- zjunlp/iepile
language:
- en
license: mit
---
The model is instruction-tuned on IEpile dataset. The intended use of the model is Information Extraction tasks: Named Entity Recognition (NER), Relation Extraction (RE), and Event Extraction (EE)
The model is finetuned based on IePile approach.

## IEPile dataset
In IEPile, the instruction format of IEPile adopts a JSON-like string structure, which is essentially a dictionary-type string composed of the following three main components: (1) 'instruction': Task description, which outlines the task to be performed by the instruction (one of NER, RE, EE, EET, EEA). (2) 'schema': A list of schemas to be extracted (entity types, relation types, event types). (3) 'input': The text from which information is to be extracted.