Model: tensorblock/Tucano-1b1-GGUF
Author: tensorblock
Pipeline: text-generation
Library: transformers
Tags: transformers, gguf, text-generation-inference, TensorBlock, GGUF, text-generation, pt, dataset:TucanoBR/GigaVerbo, base_model:TucanoBR/Tucano-1b1, base_model:quantized:TucanoBR/Tucano-1b1, license:apache-2.0, model-index, co2_eq_emissions, endpoints_compatible, region:us
Base models (quantized): id: TucanoBR/Tucano-1b1
Card metadata: language: pt
license: apache-2.0
library_name: transformers
tags: text-generation-inference, TensorBlock, GGUF
datasets: TucanoBR/GigaVerbo
metrics: perplexity
pipeline_tag: text-generation
widget: text: A floresta da Amazônia é conhecida por sua
example_title: Exemplo, text: Uma das coisas que Portugal, Angola, Brasil e Moçambique tem em comum é o
example_title: Exemplo, text: O Carnaval do Rio de Janeiro é
example_title: Exemplo
inference: parameters: repetition_penalty: 1.2
temperature: 0.2
top_k: 20
top_p: 0.2
max_new_tokens: 150
co2_eq_emissions: emissions: 960000
source: CodeCarbon
training_type: pre-training
geographical_location: Germany
hardware_used: NVIDIA A100-SXM4-80GB
base_model: TucanoBR/Tucano-1b1
model-index: name: Tucano-1b1
results: task: type: text-generation
name: Text Generation
dataset: name: CALAME-PT
type: NOVA-vision-language/calame-pt
split: all
args: num_few_shot: 0
metrics: type: acc
value: 58.24
name: accuracy
verified: no
source: url: https://huggingface.co/datasets/NOVA-vision-language/calame-pt
name: Context-Aware LAnguage Modeling Evaluation for Portuguese, task: type: text-generation
name: Text Generation
dataset: name: LAMBADA-PT
type: TucanoBR/lambada-pt
split: train
args: num_few_shot: 0
metrics: type: acc
value: 34.7
name: accuracy
verified: no
source: url: https://huggingface.co/datasets/TucanoBR/lambada-pt
name: LAMBADA-PT, task: type: text-generation
name: Text Generation
dataset: name: ENEM Challenge (No Images)
type: eduagarcia/enem_challenge
split: train
args: num_few_shot: 3
metrics: type: acc
value: 21.41
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
name: Open Portuguese LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: BLUEX (No Images)
type: eduagarcia-temp/BLUEX_without_images
split: train
args: num_few_shot: 3
metrics: type: acc
value: 23.37
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
name: Open Portuguese LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: OAB Exams
type: eduagarcia/oab_exams
split: train
args: num_few_shot: 3
metrics: type: acc
value: 25.97
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
name: Open Portuguese LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: Assin2 RTE
type: assin2
split: test
args: num_few_shot: 15
metrics: type: f1_macro
value: 60.82
name: f1-macro
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
name: Open Portuguese LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: Assin2 STS
type: eduagarcia/portuguese_benchmark
split: test
args: num_few_shot: 10
metrics: type: pearson
value: 24.63
name: pearson
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
name: Open Portuguese LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: FaQuAD NLI
type: ruanchaves/faquad-nli
split: test
args: num_few_shot: 15
metrics: type: f1_macro
value: 43.97
name: f1-macro
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
name: Open Portuguese LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: HateBR Binary
type: ruanchaves/hatebr
split: test
args: num_few_shot: 25
metrics: type: f1_macro
value: 29
name: f1-macro
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
name: Open Portuguese LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: PT Hate Speech Binary
type: hate_speech_portuguese
split: test
args: num_few_shot: 25
metrics: type: f1_macro
value: 41.19
name: f1-macro
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
name: Open Portuguese LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: tweetSentBR
type: eduagarcia-temp/tweetsentbr
split: test
args: num_few_shot: 25
metrics: type: f1_macro
value: 32.18
name: f1-macro
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
name: Open Portuguese LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: ARC-Challenge (PT)
type: arc_pt
args: num_few_shot: 25
metrics: type: acc_norm
value: 30.43
name: normalized accuracy
verified: no
source: url: https://github.com/nlp-uoregon/mlmm-evaluation
name: Evaluation Framework for Multilingual Large Language Models, task: type: text-generation
name: Text Generation
dataset: name: HellaSwag (PT)
type: hellaswag_pt
args: num_few_shot: 10
metrics: type: acc_norm
value: 42.84
name: normalized accuracy
verified: no
source: url: https://github.com/nlp-uoregon/mlmm-evaluation
name: Evaluation Framework for Multilingual Large Language Models, task: type: text-generation
name: Text Generation
dataset: name: TruthfulQA
type: truthfulqa_pt
args: num_few_shot: 0
metrics: type: mc2
value: 41.59
name: bleurt
verified: no
source: url: https://github.com/nlp-uoregon/mlmm-evaluation
name: Evaluation Framework for Multilingual Large Language Models
Likes: 0 | All-time downloads: 1690
Created: 2025-01-02 23:34:40