Model: semantixai/Lloro
Author: semantixai
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, llama, text-generation, analytics, analise-dados, portugues-BR, conversational, pt, dataset:semantixai/LloroV3, base_model:codellama/CodeLlama-7b-Instruct-hf, base_model:finetune:codellama/CodeLlama-7b-Instruct-hf, license:llama2, co2_eq_emissions, text-generation-inference, endpoints_compatible, deploy:azure, region:us
Base models (finetune): id: codellama/CodeLlama-7b-Instruct-hf
Card metadata: base_model: codellama/CodeLlama-7b-Instruct-hf
license: llama2
datasets: semantixai/LloroV3
language: pt
tags: analytics, analise-dados, portugues-BR
co2_eq_emissions: emissions: 1320
source: Lacoste, Alexandre, et al. “Quantifying the Carbon Emissions of Machine Learning.” ArXiv (Cornell University), 21 Oct. 2019, https://doi.org/10.48550/arxiv.1910.09700.
training_type: fine-tuning
geographical_location: Council Bluffs, Iowa, USA.
hardware_used: 1 A100 40GB GPU
Likes: 19 | All-time downloads: 2519
Created: 2024-01-18 13:04:37