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  library_name: transformers
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- tags: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
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- ## Model Details
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- ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a πŸ€— transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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- ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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- ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Training Details
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- ### Training Data
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- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
 
 
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- [More Information Needed]
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- **APA:**
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- ## Glossary [optional]
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- ## More Information [optional]
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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- [More Information Needed]
 
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  ---
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  library_name: transformers
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+ tags:
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+ - legal
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+ - philippine-law
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+ - tagalog
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+ - filipino
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+ - barangay
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+ - qwen2
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+ - lora
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+ - fine-tuned
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+ language:
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+ - en
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+ - tl
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+ license: apache-2.0
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+ base_model: Qwen/Qwen2.5-3B-Instruct
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+ pipeline_tag: text-generation
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  ---
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+ # βš–οΈ Abogado β€” Open Source Philippine Law AI
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+ **Abogado** (Filipino for "Lawyer") is an open-source AI assistant fine-tuned to help Filipinos understand Philippine law. It is specifically designed for **barangay officials, local councilors, mediators**, and ordinary citizens who need accessible legal information.
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+ > **⚠️ Disclaimer:** Abogado is NOT a lawyer. It provides legal information for educational purposes only. Always consult a licensed Philippine attorney for actual legal advice. For free legal assistance, contact the Public Attorney's Office (PAO) or IBP legal aid.
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+ ## Why Abogado?
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+ - Most AI models are trained on US/UK law and perform poorly on Philippine law
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+ - Millions of barangay officials handle legal disputes daily without formal legal training
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+ - Access to legal information in the Philippines is expensive and inaccessible for many
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+ - Abogado aims to democratize legal knowledge for every Filipino
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ## Model Details
 
 
 
 
 
 
 
 
 
 
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+ - **Base Model:** Qwen/Qwen2.5-3B-Instruct
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+ - **Method:** QLoRA fine-tuning (4-bit quantization, LoRA rank 16)
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+ - **Training Data:** 106 Q&A pairs from the 1987 Philippine Constitution
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+ - **Languages:** English and Filipino/Tagalog
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+ - **License:** Apache 2.0 (fully open source)
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+ - **Hardware:** Kaggle T4 GPU
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+ ## What It Knows
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+ Currently trained on:
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+ - βœ… 1987 Philippine Constitution (all 18 Articles)
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+ - βœ… Bill of Rights practical applications
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+ - βœ… Katarungang Pambarangay (Barangay Justice System)
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+ - βœ… VAWC (RA 9262) basics and Barangay Protection Orders
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+ - βœ… Local government structure and powers
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+ - βœ… Rights of arrested persons
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+ - βœ… Safety behaviors (refuses private data, recommends real lawyers)
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+ ### Planned future training data:
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+ - πŸ“‹ Local Government Code (RA 7160)
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+ - πŸ“‹ Revised Penal Code
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+ - πŸ“‹ Family Code
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+ - πŸ“‹ Labor Code
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+ - πŸ“‹ RA 9262 (VAWC) full text
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+ - πŸ“‹ RA 7610 (Child Protection)
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+ - πŸ“‹ Supreme Court jurisprudence
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+ - πŸ“‹ Rules on Summary Procedure
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+
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+ ## How to Use
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+ ### With Transformers (Python)
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+ model = AutoModelForCausalLM.from_pretrained("YOUR_USERNAME/abogado")
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+ tokenizer = AutoTokenizer.from_pretrained("YOUR_USERNAME/abogado")
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+ messages = [
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+ {"role": "system", "content": "You are Abogado, an open-source Philippine law assistant."},
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+ {"role": "user", "content": "Can a barangay captain issue a warrant of arrest?"},
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+ ]
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+ text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ inputs = tokenizer(text, return_tensors="pt")
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+ outputs = model.generate(**inputs, max_new_tokens=512)
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+ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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+ ```
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+ ### With Ollama (Local/Docker)
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+ ```bash
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+ # Download the GGUF version and create a Modelfile, then:
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+ ollama create abogado -f Modelfile
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+ ollama run abogado "What is the Katarungang Pambarangay?"
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+ ```
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+ ## Target Users
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+ - 🏘️ **Barangay Officials** β€” Captains, Kagawads, Lupon members handling disputes
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+ - πŸ›οΈ **Local Councilors** β€” Municipal/city council members drafting ordinances
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+ - 🀝 **Mediators** β€” Lupong Tagapamayapa members conducting conciliation
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+ - πŸ“š **Law Students** β€” For study and bar exam review
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+ - πŸ‡΅πŸ‡­ **Filipino Citizens** β€” Anyone who wants to understand their rights
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+ ## Safety Features
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+ Abogado is trained to:
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+ - ❌ **Refuse** to review actual case documents or provide specific legal advice
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+ - ⚠️ **Warn** users when they share personal or confidential information
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+ - βœ… **Redirect** users to licensed attorneys, PAO, or IBP legal aid
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+ - πŸ“‹ **Always include** a disclaimer that information is for educational purposes only
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+ ## Limitations
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+ - Currently trained only on the Philippine Constitution (106 Q&A pairs)
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+ - May produce inaccurate or incomplete legal information
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+ - Cannot replace professional legal advice
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+ - Knowledge is limited to training data β€” does not have access to the latest laws or jurisprudence
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+ - Performance will improve significantly as more training data is added
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+ ## Contributing
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+ Abogado is open source! You can help by:
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+ 1. **Adding more training data** β€” Q&A pairs from other Philippine laws
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+ 2. **Testing and reporting issues** β€” File issues on the repo
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+ 3. **Translating** β€” Adding more Filipino/Tagalog Q&A pairs
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+ 4. **Sharing** β€” Tell barangay officials, law students, and communities about Abogado
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  ## Training Details
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+ - **Epochs:** 5
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+ - **Batch size:** 2 (with gradient accumulation of 4, effective batch size 8)
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+ - **Learning rate:** 2e-4
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+ - **Optimizer:** AdamW 8-bit
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+ - **Precision:** FP16
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+ - **LoRA rank:** 16
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+ - **LoRA alpha:** 16
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+ - **Target modules:** q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ## License
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+ Apache 2.0 β€” Use it freely, modify it, share it. Help make law accessible for every Filipino.
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+ ## Acknowledgments
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+ - Base model by [Qwen Team](https://huggingface.co/Qwen)
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+ - Philippine Constitution text from the [Official Gazette](https://www.officialgazette.gov.ph)
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+ - Built with [Hugging Face Transformers](https://huggingface.co/docs/transformers), [PEFT](https://huggingface.co/docs/peft), and [TRL](https://huggingface.co/docs/trl)
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+ ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ *"Kaalaman sa batas, para sa lahat." (Legal knowledge, for everyone.)*