KiranKumarReddy / happybirthday

This is a fine-tuned Large Language Model using the data "mlabonne/FineTome-100k"

3B

Updated 3 days ago

3 days ago

3206263e461a · 2.0GB

model
llama
·
3.21B
·
Q4_K_M
params
{"stop":["<|start_header_id|>","<|end_header_id|>","<|eot_id|>"]}
template
{{- range .Messages }}<|start_header_id|>{{ .Role }}<|end_header_id|> {{ .Content }}<|eot_id|> {{- end }}<|start_header_id|>assistant<|end_header_id|>

Readme

FineTuned LLM Model on mlabonne/FineTome-100k and llama 3.2

Overview

This state-of-the-art Language Model is a powerful, fine-tuned version of the LLaMA 3.2 architecture, optimized using the mlabonne/FineTome-100k dataset. Our model pushes the boundaries of language generation and understanding, enabling applications across various domains such as natural language processing, content creation, sentiment analysis, and more.

Key Features

  • Base Model: Built on the highly efficient LLaMA 3.2 architecture, known for its balance between performance and computational efficiency.
  • Finetuned on mlabonne/FineTome-100k: The model leverages the rich, diverse, and high-quality data from the FineTome-100k dataset, making it ideal for handling complex textual understanding and generation tasks.
  • Scalable Performance: Optimized for tasks requiring nuanced comprehension, such as summarization, dialogue, and contextual recommendations.
  • Low Latency & High Efficiency: Designed to be fast and efficient, ensuring lower operational costs and reduced energy consumption during inference.

Applications

  • Natural Language Understanding: Improved performance in text classification, entity recognition, and contextual reasoning tasks.
  • Conversational AI: Generates natural, human-like responses that are highly relevant to a given prompt.
  • Content Generation: Ideal for generating coherent and context-aware content for blogs, marketing material, and creative writing.
  • Sentiment Analysis & Emotion Detection: Excels in detecting subtle shifts in tone and sentiment, making it suitable for customer feedback analysis or social media monitoring.

Installation

To start using the model, clone the repository and install the required dependencies:

ollama run KiranKumarReddy/happybirthday
ollama list