Model: semantixai/Lloro-SQL
Author: semantixai
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, llama, text-generation, code, sql, finetuned, portugues-BR, conversational, pt, base_model:meta-llama/Meta-Llama-3-8B-Instruct, base_model:finetune:meta-llama/Meta-Llama-3-8B-Instruct, license:llama3, co2_eq_emissions, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: meta-llama/Meta-Llama-3-8B-Instruct
Card metadata: library_name: transformers
base_model: meta-llama/Meta-Llama-3-8B-Instruct
license: llama3
language: pt
tags: code, sql, finetuned, portugues-BR
co2_eq_emissions: emissions: 1450
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: 2 | All-time downloads: 385
Created: 2024-05-22 11:15:03