Internlm Chatbode 7b

🚀 internlm-chatbode-7b

InternLm-ChatBode is a language model fine - tuned for the Portuguese language, developed based on the InternLM2 model. This model was refined through the fine - tuning process using the UltraAlpaca dataset.

🚀 Quick Start

InternLm-ChatBode is a language model fine - tuned for Portuguese, developed from the InternLM2 model. It was refined through fine - tuning with the UltraAlpaca dataset.

✨ Features

• Base Model: internlm/internlm2-chat-7b
• Fine - tuning Dataset: UltraAlpaca
• Training: The training was carried out by fine - tuning the internlm2 - chat - 7b using QLoRA.

💻 Usage Examples

Basic Usage

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("recogna-nlp/internlm-chatbode-7b", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("recogna-nlp/internlm-chatbode-7b", torch_dtype=torch.float16, trust_remote_code=True).cuda()
model = model.eval()
response, history = model.chat(tokenizer, "Olá", history=[])
print(response)
response, history = model.chat(tokenizer, "O que é o Teorema de Pitágoras? Me dê um exemplo", history=history)
print(response)

Advanced Usage

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model_path = "recogna-nlp/internlm-chatbode-7b"
model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.float16, trust_remote_code=True).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)

model = model.eval()
length = 0
for response, history in model.stream_chat(tokenizer, "Olá", history=[]):
    print(response[length:], flush=True, end="")
    length = len(response)

📚 Documentation

Open Portuguese LLM Leaderboard Evaluation Results

Detailed results can be found here and on the üöÄ Open Portuguese LLM Leaderboard

📄 License

If you want to use Chatbode in your research, cite it as follows:

@misc {chatbode_2024,
	author       = { Gabriel Lino Garcia, Pedro Henrique Paiola and  and João Paulo Papa},
	title        = { Chatbode },
	year         = {2024},
	url          = { https://huggingface.co/recogna-nlp/internlm-chatbode-7b/ },
	doi          = { 10.57967/hf/3317 },
	publisher    = { Hugging Face }
}