Model: nicholasKluge/TeenyTinyLlama-460m-Chat
Author: nicholasKluge
Pipeline: text-generation
Library: transformers
Tags: transformers, pytorch, jax, safetensors, llama, text-generation, alignment, instruction tuned, text generation, conversation, assistant, pt, dataset:nicholasKluge/instruct-aira-dataset-v2, arxiv:2401.16640, base_model:nicholasKluge/TeenyTinyLlama-460m, base_model:finetune:nicholasKluge/TeenyTinyLlama-460m, license:apache-2.0, co2_eq_emissions, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: nicholasKluge/TeenyTinyLlama-460m
Card metadata: license: apache-2.0
datasets: nicholasKluge/instruct-aira-dataset-v2
language: pt
metrics: accuracy
library_name: transformers
pipeline_tag: text-generation
tags: alignment, instruction tuned, text generation, conversation, assistant
widget: text: 
<instruction>Cite algumas bandas de rock famosas da década de 1960.</instruction>
example_title: Exemplo, text: 
<instruction>Quantos planetas existem no sistema solar?</instruction>
example_title: Exemplo, text: 
<instruction>Qual é o futuro do ser humano?</instruction>
example_title: Exemplo, text: 
<instruction>Qual o sentido da vida?</instruction>
example_title: Exemplo, text: 
<instruction>Como imprimir hello world em python?</instruction>
example_title: Exemplo, text: 
<instruction>Invente uma história sobre um encanador com poderes mágicos.</instruction>
example_title: Exemplo
inference: parameters: repetition_penalty: 1.2
temperature: 0.1
top_k: 50
top_p: 1
max_new_tokens: 200
length_penalty: 0.3
early_stopping: yes
co2_eq_emissions: emissions: 2530
source: CodeCarbon
training_type: fine-tuning
geographical_location: United States of America
hardware_used: NVIDIA A100-SXM4-40GB
base_model: nicholasKluge/TeenyTinyLlama-460m
Likes: 3 | All-time downloads: 8266
Created: 2024-01-17 12:13:14