--- 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](https://huggingface.co/spaces/lucianosb/boto-7B) disponível. E cante junto: [![Foi Boto Sinhá](https://markdown-videos-api.jorgenkh.no/url?url=https%3A%2F%2Fyoutu.be%2FxSyuWFvI9_8%3Fsi%3DSzIMawwQ6sF_xhZK)](https://youtu.be/xSyuWFvI9_8?si=SzIMawwQ6sF_xhZK) 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](https://huggingface.co/spaces/lucianosb/boto-7B). 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 ```python 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](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/lucianosb/boto-7B) | 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](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth)