Model: atharvashembade/Llama-3.2-LoRA-100M
Author: atharvashembade
Tags: safetensors, en, base_model:meta-llama/Llama-3.2-1B, base_model:finetune:meta-llama/Llama-3.2-1B, region:us
Base models (finetune): id: meta-llama/Llama-3.2-1B
Card metadata: model_name: Llama-3.2-LoRA-100M
base_model: meta-llama/Llama-3.2-1B
reduced_parameter_count: 100M
description: This is a LoRA implementation built on top of the LLaMA-3.2-1B model.
Through parameter-efficient fine-tuning, the effective number of trainable
parameters has been reduced to approximately 100 million, enabling a lighter,
more efficient model that retains robust performance.

language: en
Likes: 0 | All-time downloads: 0
Created: 2025-04-09 03:38:28