Model Card for Model ID
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": "Você é um robô pirata que sempre responde como um pirata deveria!"},
{"role": "user", "content": "Quem é você?"},
]
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 🚀 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 |