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Model Card for Llama-3-8B-Dolphin-Portuguese-v0.3

Model Trained on a translated version of dolphin dataset.

Usage

import transformers
import torch

model_id = "adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3"

pipeline = transformers.pipeline(
    "text-generation",
    model=model_id,
    model_kwargs={"torch_dtype": torch.bfloat16},
    device_map="auto",
)

messages = [
    {"role": "system", "content": "VocΓͺ Γ© um robΓ΄ pirata que sempre responde como um pirata deveria!"},
    {"role": "user", "content": "Quem Γ© vocΓͺ?"},
]

prompt = pipeline.tokenizer.apply_chat_template(
        messages, 
        tokenize=False, 
        add_generation_prompt=True
)

terminators = [
    pipeline.tokenizer.eos_token_id,
    pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
]

outputs = pipeline(
    prompt,
    max_new_tokens=256,
    eos_token_id=terminators,
    do_sample=True,
    temperature=0.6,
    top_p=0.9,
)
print(outputs[0]["generated_text"][len(prompt):])

Open Portuguese LLM Leaderboard Evaluation Results

Detailed results can be found here and on the πŸš€ Open Portuguese LLM Leaderboard

Metric Value
Average 73.15
ENEM Challenge (No Images) 68.86
BLUEX (No Images) 57.86
OAB Exams 61.91
Assin2 RTE 93.05
Assin2 STS 76.48
FaQuAD NLI 76.78
HateBR Binary 83.25
PT Hate Speech Binary 68.85
tweetSentBR 71.30
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Evaluation results