Model Card for Rithu Paran's Summarization Model
Model Details
Model Description
Purpose: This model is designed for text summarization, specifically built to condense long-form content into concise, meaningful summaries.
Developed by: Rithu Paran
Model type: Transformer-based Language Model for Summarization
Base Model: Meta-Llama/Llama-3.2-11B-Vision-Instruct
Finetuned Model Version: Meta-Llama/Llama-3.1-8B-Instruct
Language(s): Primarily English, with limited support for other languages.
License: MIT License
Model Sources
Repository: Available on Hugging Face Hub under Rithu Paran
Datasets Used: fka/awesome-chatgpt-prompts, gopipasala/fka-awesome-chatgpt-prompts
Uses
Direct Use
This model can be directly employed for summarizing various types of content, such as news articles, reports, and other informational documents.
Out-of-Scope Use
It is not recommended for highly technical or specialized documents without additional fine-tuning or adaptation.
Bias, Risks, and Limitations
While…
---
license: mit
datasets:
- fka/awesome-chatgpt-prompts
- gopipasala/fka-awesome-chatgpt-prompts
metrics:
- character
base_model:
- meta-llama/Llama-3.2-11B-Vision-Instruct
new_version: meta-llama/Llama-3.1-8B-Instruct
pipeline_tag: summarization
library_name: diffusers
tags:
- legal
---
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