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Model: recogna-nlp/internlm-chatbode-7b Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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model-index:
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- name: internlm-chatbode-7b
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: ENEM Challenge (No Images)
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type: eduagarcia/enem_challenge
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split: train
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args:
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num_few_shot: 3
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metrics:
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- type: acc
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value: 63.05
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/internlm-chatbode-7b
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name: Open Portuguese LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BLUEX (No Images)
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type: eduagarcia-temp/BLUEX_without_images
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split: train
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args:
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num_few_shot: 3
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metrics:
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- type: acc
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value: 51.46
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/internlm-chatbode-7b
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name: Open Portuguese LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: OAB Exams
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type: eduagarcia/oab_exams
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split: train
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args:
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num_few_shot: 3
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metrics:
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- type: acc
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value: 42.32
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/internlm-chatbode-7b
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name: Open Portuguese LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Assin2 RTE
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type: assin2
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split: test
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args:
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num_few_shot: 15
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metrics:
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- type: f1_macro
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value: 91.33
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name: f1-macro
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source:
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url: >-
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https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/internlm-chatbode-7b
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name: Open Portuguese LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Assin2 STS
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type: eduagarcia/portuguese_benchmark
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split: test
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args:
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num_few_shot: 15
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metrics:
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- type: pearson
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value: 80.69
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name: pearson
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source:
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url: >-
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https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/internlm-chatbode-7b
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name: Open Portuguese LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: FaQuAD NLI
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type: ruanchaves/faquad-nli
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split: test
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args:
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num_few_shot: 15
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metrics:
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- type: f1_macro
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value: 79.8
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name: f1-macro
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source:
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url: >-
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https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/internlm-chatbode-7b
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name: Open Portuguese LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HateBR Binary
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type: ruanchaves/hatebr
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: f1_macro
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value: 87.99
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name: f1-macro
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source:
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url: >-
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https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/internlm-chatbode-7b
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name: Open Portuguese LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: PT Hate Speech Binary
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type: hate_speech_portuguese
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: f1_macro
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value: 68.09
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name: f1-macro
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source:
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url: >-
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https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/internlm-chatbode-7b
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name: Open Portuguese LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: tweetSentBR
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type: eduagarcia/tweetsentbr_fewshot
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: f1_macro
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value: 61.11
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name: f1-macro
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source:
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url: >-
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https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/internlm-chatbode-7b
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name: Open Portuguese LLM Leaderboard
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language:
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- pt
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pipeline_tag: text-generation
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---
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# internlm-chatbode-7b
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<!--- PROJECT LOGO -->
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<p align="center">
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<img src="https://huggingface.co/recogna-nlp/internlm-chatbode-7b/resolve/main/_1add1e52-f428-4c7c-bab2-3c6958e029fa.jpeg" alt="ChatBode Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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</p>
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O InternLm-ChatBode é um modelo de linguagem ajustado para o idioma português, desenvolvido a partir do modelo [InternLM2](https://huggingface.co/internlm/internlm2-chat-7b). Este modelo foi refinado através do processo de fine-tuning utilizando o dataset UltraAlpaca.
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## Características Principais
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- **Modelo Base:** [internlm/internlm2-chat-7b](internlm/internlm2-chat-7b)
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- **Dataset para Fine-tuning:** UltraAlpaca
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- **Treinamento:** O treinamento foi realizado a partir do fine-tuning, usando QLoRA, do internlm2-chat-7b.
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## Exemplo de uso
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A seguir um exemplo de código de como carregar e utilizar o modelo:
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("recogna-nlp/internlm-chatbode-7b", trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained("recogna-nlp/internlm-chatbode-7b", torch_dtype=torch.float16, trust_remote_code=True).cuda()
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model = model.eval()
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response, history = model.chat(tokenizer, "Olá", history=[])
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print(response)
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response, history = model.chat(tokenizer, "O que é o Teorema de Pitágoras? Me dê um exemplo", history=history)
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print(response)
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```
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As respostas podem ser geradas via stream utilizando o método `stream_chat`:
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "recogna-nlp/internlm-chatbode-7b"
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model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.float16, trust_remote_code=True).cuda()
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tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
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model = model.eval()
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length = 0
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for response, history in model.stream_chat(tokenizer, "Olá", history=[]):
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print(response[length:], flush=True, end="")
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length = len(response)
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```
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# Open Portuguese LLM Leaderboard Evaluation Results
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Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/recogna-nlp/internlm-chatbode-7b) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
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| Metric | Value |
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|Average |**69.54**|
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|ENEM Challenge (No Images)| 63.05|
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|BLUEX (No Images) | 51.46|
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|OAB Exams | 42.32|
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|Assin2 RTE | 91.33|
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|Assin2 STS | 80.69|
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|FaQuAD NLI | 79.80|
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|HateBR Binary | 87.99|
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|PT Hate Speech Binary | 68.09|
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|tweetSentBR | 61.11|
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## Citação
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Se você deseja utilizar o Chatbode em sua pesquisa, cite-o da seguinte maneira:
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```
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@misc {chatbode_2024,
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author = { Gabriel Lino Garcia, Pedro Henrique Paiola and and João Paulo Papa},
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title = { Chatbode },
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year = {2024},
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url = { https://huggingface.co/recogna-nlp/internlm-chatbode-7b/ },
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doi = { 10.57967/hf/3317 },
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publisher = { Hugging Face }
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}
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```
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