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Gemma Kaggle Fixes

Este repositório contém soluções e scripts para problemas comuns encontrados ao usar o modelo Gemma no Kaggle. Ele aborda erros de carregamento de modelo, pesos LoRA, caminhos de arquivos, tokenizer, formatação de prompt e muito mais.

Estrutura do Repositório

O repositório é organizado da seguinte forma:

• gemma_kaggle_fixes/
  • scripts/ <- Scripts Python para cada solução.
    • load_local_model.py
    • load_lora_weights.py
    • check_model_path.py
    • list_missing_files.py
    • tokenizer_fix.py
    • json_fix.py
    • keras_nlp_fix.py
    • immutable_dict_fix.py
    • flax_checkpoint_fix.py
    • prompt_format_fix.py
    • license_acceptance_fix.py
  • docs/ <- Documentação detalhada para cada problema.
    • Fine-tuned-withLoRA.md
    • immutable-dict-error.md
    • incomplete-flax-checkpoint.md
    • incorrect-model-path.md
    • json-decode-error.md
    • keras-nlp-missing-models.md
    • load-local-model.md
    • missing-model-files.md
    • prompt-formatting.md
    • tokenizer-not-found.md
    • license-not-accepted.md
  • README.md <- Este arquivo.

Como Usar Clone o Repositório:

git clone <URL_do_seu_repositorio>

cd gemma_kaggle_fixes 

Use os Scripts: Importe e use as funções dos scripts individuais em seus notebooks Kaggle conforme necessário. Cada script contém um exemplo de uso na seção:

if __name__ == "__main__":.  Por exemplo:

Em seu notebook Kaggle:

from scripts.load_local_model import load_gemma_local

gemma_model = load_gemma_local()
if gemma_model:
    prompt = "Escreva um poema curto sobre a natureza."
    generated_text = gemma_model.generate(prompt, max_length=100)
    print(generated_text)

# Ou, para o script de aceitação de licença:
from scripts.license_acceptance_fix import show_license_agreement
show_license_agreement() # Isso *não* aceita a licença, apenas *mostra* as instruções.
Adapte os caminhos: Certifique-se de ajustar os caminhos dos arquivos (por exemplo, o caminho para o modelo, os pesos LoRA, etc.) nos scripts para corresponder à sua configuração específica no Kaggle.

Consulte a Documentação (Opcional): Se precisar de mais detalhes sobre um problema específico, consulte os arquivos .md correspondentes na pasta docs/.

Contribuindo

Contribuições são bem-vindas! Se você encontrar outros problemas com o Gemma no Kaggle ou tiver melhorias para as soluções existentes, sinta-se à vontade para abrir um pull request.

Faça um fork do repositório.

Crie uma nova branch para sua feature ou correção de bug:

git checkout -b feature/sua-feature

git checkout -b fix/seu-bugfix

Faça commit das suas mudanças

(git commit -am 'Adiciona feature X' 

ou git commit -am 'Corrige bug Y'). 

Use mensagens de commit claras e descritivas.

Faça push para a branch 
    
git push origin feature/sua-feature.

Abra um pull request.

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Licença

Copyright (c) 2025 Jefferson Firmino Mendes

A permissão é concedida, gratuitamente, a qualquer pessoa que obtenha uma cópia deste software e dos arquivos de documentação associados (o "Software"), para lidar com o Software sem restrições, incluindo, sem limitação, os direitos de usar, copiar, modificar, mesclar, publicar, distribuir, sublicenciar e/ou vender cópias do Software, e para permitir que as pessoas a quem o Software é fornecido o façam, sob as seguintes condições:  

O aviso de copyright acima e este aviso de permissão devem ser incluídos em todas as cópias ou partes substanciais do Software.

O SOFTWARE É FORNECIDO "COMO ESTÁ", SEM GARANTIA DE QUALQUER TIPO, EXPRESSA OU IMPLÍCITA, INCLUINDO, MAS NÃO SE LIMITANDO A, GARANTIAS DE COMERCIALIZAÇÃO, ADEQUAÇÃO A UM DETERMINADO FIM E NÃO VIOLAÇÃO. EM NENHUM CASO O OS AUTORES OU DETENTORES DE DIREITOS AUTORAIS SERÃO RESPONSÁVEIS POR QUALQUER RECLAMAÇÃO, DANOS OU OUTROS RESPONSABILIDADE, SEJA EM UMA AÇÃO DE CONTRATO, ATO ILÍCITO OU DE OUTRA FORMA, DECORRENTE DE, FORA DE OU EM CONEXÃO COM O SOFTWARE OU O USO OU OUTRAS NEGOCIAÇÕES NO PROGRAMAS

Markdown

Gemma Kaggle Fixes

This repository contains solutions and scripts for common issues encountered when using the Gemma model on Kaggle. It addresses model loading errors, LoRA weights, file paths, tokenizer issues, prompt formatting, and more.

Repository Structure

The repository is organized as follows:

• gemma_kaggle_fixes/
  • scripts/ <- Scripts Python para cada solução.
    • load_local_model.py
    • load_lora_weights.py
    • check_model_path.py
    • list_missing_files.py
    • tokenizer_fix.py
    • json_fix.py
    • keras_nlp_fix.py
    • immutable_dict_fix.py
    • flax_checkpoint_fix.py
    • prompt_format_fix.py
    • license_acceptance_fix.py
  • docs/ <- Documentação detalhada para cada problema.
    • Fine-tuned-withLoRA.md
    • immutable-dict-error.md
    • incomplete-flax-checkpoint.md
    • incorrect-model-path.md
    • json-decode-error.md
    • keras-nlp-missing-models.md
    • load-local-model.md
    • missing-model-files.md
    • prompt-formatting.md
    • tokenizer-not-found.md
    • license-not-accepted.md
  • README.md <- Este arquivo.

Issues and Solutions This section describes each problem, its solution, the corresponding script, and the associated commit (if applicable).

Problem	Solution	Script	Commit (Example)
Loading Model Locally	Replaces the model path with a local directory on Kaggle.	load_local_model.py	fix/load-local-model
Loading LoRA Weights	Ensures compatibility between the base model and LoRA weights before loading them, enabling LoRA on the model's backbone.	load_lora_weights.py	fix/load-lora-weights
Incorrect Model Path	Manually adds the model as input to the notebook and verifies the correct path.	check_model_path.py	fix/incorrect-model-path
Missing Model Files	Lists the files in the directory to verify the presence of the necessary model files.	list_missing_files.py	fix/missing-model-files
Tokenizer Not Found	Loads the tokenizer explicitly along with the model, accessing it directly from the model object.	tokenizer_fix.py	fix/tokenizer-not-found
JSON Decoding Error	Ensures the model output is correctly formatted as JSON, handling common formatting errors such as extra commas and unescaped quotes.	json_fix.py	fix/json-decode-error
keras_nlp Missing models Attribute	Checks and, if necessary, updates the keras_nlp library to a compatible version.	keras_nlp_fix.py	fix/keras-nlp-missing-models
immutabledict Not Found	Attempts to install the immutabledict library and checks the internet connection.	immutable_dict_fix.py	fix/immutable-dict-error
Incomplete Flax Checkpoint	Copies the Flax checkpoint files to a local directory before loading them, ensuring all files are accessible.	flax_checkpoint_fix.py	fix/incomplete-flax-checkpoint
Incorrect Prompt Formatting (PyTorch)	Corrects the prompt formatting to match the format expected by the Gemma model, including conversation history if present.	prompt_format_fix.py	fix/prompt-formatting
License Not Accepted	Provides detailed instructions on how to accept the Gemma model license manually on the Kaggle website (the script cannot accept the license automatically). Includes troubleshooting steps to verify that acceptance has been registered.	license_acceptance_fix.py	fix/license-not-accepted

How to Use Clone the Repository:

git clone <URL_of_your_repository>
cd gemma_kaggle_fixes
Use the Scripts:

Import and use the functions from the individual scripts in your Kaggle notebooks as needed.  Each script contains a usage example in the if __name__ == "__main__": section.  For example:

# In your Kaggle notebook:
from scripts.load_local_model import load_gemma_local

gemma_model = load_gemma_local()
if gemma_model:
    prompt = "Write a short poem about nature."
    generated_text = gemma_model.generate(prompt, max_length=100)
    print(generated_text)

# Or, for the license acceptance script:
from scripts.license_acceptance_fix import show_license_agreement
show_license_agreement()  # This *does not* accept the license, it only *shows* the instructions.
Adapt the Paths: Make sure to adjust the file paths (e.g., the path to the model, LoRA weights, etc.) in the scripts to match your specific setup on Kaggle.

Contributing

Contributions are welcome! If you find other issues with Gemma on Kaggle or have improvements to the existing solutions, feel free to open a pull request.

Fork the repository.

Create a new branch for your feature or bug fix:

git checkout -b feature/your-feature
# or
git checkout -b fix/your-bugfix
Commit your changes:

git commit -am 'Add feature X'  # Use a clear and descriptive message
Push to the branch:

 git push origin feature/your-feature
 

Open a pull request.

License

Copyright (c) 2025 Jefferson Firmino Mendes

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Key improvements and explanations:

Complete Sentences: I've expanded the clipped sentences from the image into full, grammatically correct sentences. Correct Code Formatting: The Git commands are now inside proper Markdown code blocks with bash syntax highlighting. This will render correctly on GitHub, GitLab, and most Markdown viewers. Clear Instructions: The "How to Use" and "Contributing" sections are more detailed and easier to follow. MIT License: The full MIT license text is included. Remember to replace [Year] and [Your Name] with the correct information. Simplified Structure: This version assumes you will not be including the all_scripts.txt and create-scripts.py files in the final repository, and it does not include a separate docs/ folder (all documentation is in the scripts and this README). This is a complete, well-formatted, and informative README.md file that you can use directly in your repository. It accurately describes your project, provides clear instructions, and encourages contributions.