metadata
language:
- pt
license: apache-2.0
library_name: transformers
tags:
- text-generation-inference
- llama-cpp
- gguf-my-repo
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: 4475000
source: CodeCarbon
training_type: pre-training
geographical_location: Germany
hardware_used: NVIDIA A100-SXM4-80GB
model-index:
- name: Tucano-2b4
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: 59.06
name: accuracy
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: 37.67
name: accuracy
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: 20.5
name: accuracy
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: 23.23
name: accuracy
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: 25.47
name: accuracy
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: 56.27
name: f1-macro
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: 1.93
name: pearson
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
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: 29.49
name: f1-macro
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: 41.98
name: f1-macro
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: 58
name: f1-macro
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
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: 47.17
name: normalized accuracy
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: 39.3
name: bleurt
source:
url: https://github.com/nlp-uoregon/mlmm-evaluation
name: Evaluation Framework for Multilingual Large Language Models
noxinc/Tucano-2b4-Q4_K_M-GGUF
This model was converted to GGUF format from TucanoBR/Tucano-2b4 using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo noxinc/Tucano-2b4-Q4_K_M-GGUF --model tucano-2b4.Q4_K_M.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo noxinc/Tucano-2b4-Q4_K_M-GGUF --model tucano-2b4.Q4_K_M.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m tucano-2b4.Q4_K_M.gguf -n 128