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Model: rhaymison/Mistral-portuguese-luana-7b Source: Original Platform
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README.md
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---
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language:
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- pt
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license: apache-2.0
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library_name: transformers
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tags:
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- Misral
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- Portuguese
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- 7b
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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datasets:
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- pablo-moreira/gpt4all-j-prompt-generations-pt
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- rhaymison/superset
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pipeline_tag: text-generation
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model-index:
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- name: Mistral-portuguese-luana-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: 58.64
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name: accuracy
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-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: 47.98
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name: accuracy
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-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: 38.82
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name: accuracy
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||||
source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-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: 90.63
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name: f1-macro
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-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: 75.81
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name: pearson
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-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: 57.79
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name: f1-macro
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-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: 77.24
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name: f1-macro
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source:
|
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-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: 68.5
|
||||
name: f1-macro
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||||
source:
|
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-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-temp/tweetsentbr
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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: 63.0
|
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name: f1-macro
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||||
source:
|
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-7b
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name: Open Portuguese LLM Leaderboard
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---
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# Mistral-portuguese-luana-7b
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<p align="center">
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<img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/luana7b.webp" width="50%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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</p>
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This model was trained with a superset of 200,000 instructions in Portuguese.
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The model comes to help fill the gap in models in Portuguese. Tuned from the Mistral 7b, the model was adjusted mainly for instructional tasks.
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If you are looking for enhanced compatibility, the Luana model also has a GGUF family that can be run with LlamaCpp.
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You can explore the GGUF models starting with the one below:
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- [Mistral-portuguese-luana-7b-q8-gguf](https://huggingface.co/rhaymison/Mistral-portuguese-luana-7b-q8-gguf)
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- [Mistral-portuguese-luana-7b-f16-gguf](https://huggingface.co/rhaymison/Mistral-portuguese-luana-7b-f16-gguf)
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Explore this and other models to find the best fit for your needs!
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# How to use
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### FULL MODEL : A100
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### HALF MODEL: L4
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### 8bit or 4bit : T4 or V100
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You can use the model in its normal form up to 4-bit quantization. Below we will use both approaches.
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Remember that verbs are important in your prompt. Tell your model how to act or behave so that you can guide them along the path of their response.
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Important points like these help models (even smaller models like 7b) to perform much better.
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```python
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!pip install -q -U transformers
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!pip install -q -U accelerate
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!pip install -q -U bitsandbytes
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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model = AutoModelForCausalLM.from_pretrained("rhaymison/Mistral-portuguese-luana-7b", device_map= {"": 0})
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tokenizer = AutoTokenizer.from_pretrained("rhaymison/Mistral-portuguese-luana-7b")
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model.eval()
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```
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You can use with Pipeline but in this example i will use such as Streaming
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```python
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inputs = tokenizer([f"""<s>[INST] Abaixo está uma instrução que descreve uma tarefa, juntamente com uma entrada que fornece mais contexto.
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Escreva uma resposta que complete adequadamente o pedido.
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### instrução: aja como um professor de matemática e me explique porque 2 + 2 = 4.
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[/INST]"""], return_tensors="pt")
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inputs.to(model.device)
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streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
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_ = model.generate(**inputs, streamer=streamer, max_new_tokens=200)
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```
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If you are having a memory problem such as "CUDA Out of memory", you should use 4-bit or 8-bit quantization.
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For the complete model in colab you will need the A100.
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If you want to use 4bits or 8bits, T4 or L4 will already solve the problem.
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# 4bits example
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```python
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from transformers import BitsAndBytesConfig
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import torch
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nb_4bit_config = BitsAndBytesConfig(
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load_in_4bit=True,
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bnb_4bit_quant_type="nf4",
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bnb_4bit_compute_dtype=torch.bfloat16,
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bnb_4bit_use_double_quant=True
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)
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model = AutoModelForCausalLM.from_pretrained(
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base_model,
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quantization_config=bnb_config,
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device_map={"": 0}
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)
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```
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# LangChain
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<p align="center">
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<img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/lang.png" alt="Bode Logo" width="100%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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</p>
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# [Open Portuguese LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/rhaymison/Mistral-portuguese-luana-7b)
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| Metric | Value |
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|--------------------------|---------|
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|Average |**64.27**|
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|ENEM Challenge (No Images)| 58.64|
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|BLUEX (No Images) | 47.98|
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|OAB Exams | 38.82|
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|Assin2 RTE | 90.63|
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|Assin2 STS | 75.81|
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|FaQuAD NLI | 57.79|
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|HateBR Binary | 77.24|
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|PT Hate Speech Binary | 68.50|
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|tweetSentBR | 63|
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### Comments
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Any idea, help or report will always be welcome.
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email: rhaymisoncristian@gmail.com
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<div style="display:flex; flex-direction:row; justify-content:left">
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||||
<a href="https://www.linkedin.com/in/rhaymison-cristian-betini-2b3016175/" target="_blank">
|
||||
<img src="https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white">
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</a>
|
||||
<a href="https://github.com/rhaymisonbetini" target="_blank">
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<img src="https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white">
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</a>
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</div>
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26
config.json
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{
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"_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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"architectures": [
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"MistralForCausalLM"
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],
|
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"attention_dropout": 0.0,
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"bos_token_id": 1,
|
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"eos_token_id": 2,
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"hidden_act": "silu",
|
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"hidden_size": 4096,
|
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"initializer_range": 0.02,
|
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"intermediate_size": 14336,
|
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
|
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"rope_theta": 1000000.0,
|
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"sliding_window": null,
|
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.39.2"
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}
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
"model.norm.weight": "model-00003-of-00003.safetensors"
|
||||
}
|
||||
}
|
||||
24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "</s>",
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "</s>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user