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metadata
language:
  - pt
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - mistral
  - trl
base_model: unsloth/mistral-7b-bnb-4bit
datasets:
  - cnmoro/GPT4-500k-Augmented-PTBR-Clean
widget:
  - text: Me conte a história do Boto
model-index:
  - name: boto-7B
    results:
      - 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: 59.97
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=lucianosb/boto-7B
          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: 48.82
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=lucianosb/boto-7B
          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: 43.37
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=lucianosb/boto-7B
          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: 89.58
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=lucianosb/boto-7B
          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: 15
        metrics:
          - type: pearson
            value: 69.87
            name: pearson
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=lucianosb/boto-7B
          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: 55.57
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=lucianosb/boto-7B
          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: 77.04
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=lucianosb/boto-7B
          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: 58.84
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=lucianosb/boto-7B
          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: 57.2
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=lucianosb/boto-7B
          name: Open Portuguese LLM Leaderboard

Boto 7B

logo do boto cor-de-rosa

Boto é um fine-tuning do Mistral 7B para língua portuguesa. O Boto é bem "falante", as respostas tendem a ser longas e nem sempre objetivas por padrão.

Acesse a demonstração online disponível. E cante junto:

Foi Boto Sinhá

Boto é um nome dado a vários tipos de golfinhos e botos nativos do Amazonas e dos afluentes do rio Orinoco. Alguns botos existem exclusivamente em água doce, e estes são frequentemente considerados golfinhos primitivos.

O “boto” das regiões do rio Amazonas no norte do Brasil é descrito de acordo com o folclore local como assumindo a forma de um humano, também conhecido como Boto cor-de-rosa, e com o hábito de seduzir mulheres humanas e engravidá-las.

Métricas de avaliação em andamento...

English description

Boto is a fine-tuning of Mistral 7B for portuguese language. Responses tend to be verbose.

Try the demo.

Boto is a Portuguese name given to several types of dolphins and river dolphins native to the Amazon and the Orinoco River tributaries. A few botos exist exclusively in fresh water, and these are often considered primitive dolphins.

The "boto" of the Amazon River regions of northern Brazil are described according to local lore as taking the form of a human or merman, also known as Boto cor-de-rosa ("Pink Boto" in Portuguese) and with the habit of seducing human women and impregnating them.

How to Run on Colab T4

from transformers import AutoTokenizer, pipeline
import torch

model_id = "lucianosb/boto-7B"
tokenizer = AutoTokenizer.from_pretrained(model_id)

pipe = pipeline(
    "text-generation",
    model=model_id,
    torch_dtype=torch.float16,
    device_map="cuda:0"
)

def make_prompt(question):
  return f"""Abaixo está uma instrução que descreve uma tarefa, combinada com uma entrada que fornece contexto adicional.
Escreva uma resposta que complete adequadamente a solicitação.

### Instruction:
{question}

### Response:
"""

question = "Conte a história do boto"

prompt = make_prompt(question)
sequences = pipe(
   prompt,
   do_sample=True,
   num_return_sequences=1,
   eos_token_id=tokenizer.eos_token_id,
   max_length=2048,
   temperature=0.9,
   top_p=0.6,
   repetition_penalty=1.15
)

print(sequences[0]["generated_text"])

Open Portuguese LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Average 62.25
ENEM Challenge (No Images) 59.97
BLUEX (No Images) 48.82
OAB Exams 43.37
Assin2 RTE 89.58
Assin2 STS 69.87
FaQuAD NLI 55.57
HateBR Binary 77.04
PT Hate Speech Binary 58.84
tweetSentBR 57.20

Uploaded model

  • Developed by: lucianosb
  • License: apache-2.0
  • Finetuned from model : unsloth/mistral-7b-bnb-4bit

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.