618AI_-_dictalm2-it-qa-fine-tune-gguf

Quantization made by Richard Erkhov.

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dictalm2-it-qa-fine-tune - GGUF

• Model creator: https://huggingface.co/618AI/
• Original model: https://huggingface.co/618AI/dictalm2-it-qa-fine-tune/

Original model description:

library_name: transformers base_model: dicta-il/dictalm2.0-instruct license: apache-2.0 language:

• he pipeline_tag: text-generation

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Model Card for Guysh1805/dictalm2-it-qa-fine-tune

This is a fine-tuned version of the Dicta-IL dictalm2.0-instruct model, specifically tailored for generating question-answer pairs in Hebrew.

Model Details

Model Description

The model, Guysh1805/dictalm2-it-qa-fine-tunetuned, is a fine-tuned version of the dictalm2.0-instruct model on a both synthetically generated datasets and already existing Q&A datasets wrapped in insturction prompts.

• Developed by: Guy Shapira
• Model type: Transformer-based, fine-tuned Dicta-IL dictalm2.0-instruct
• Language(s) (NLP): Hebrew
• Finetuned from: dicta-il/dictalm2.0-instruct

How to Get Started with the Model

To get started, load the model using the Transformers library by Hugging Face:

from transformers import AutoModelForQuestionAnswering, AutoTokenizer

model_name = "Guysh1805/dictalm2-it-qa-fine-tune"
model = AutoModelForQuestionAnswering.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)