# Planned Issues and Enhancements

Please create the following issues on the GitHub repository:

## Issue 1: Implement Training Pipeline

**Title**: Implement Training Pipeline for LLaVA Model

**Description**:
This issue is for implementing a complete training pipeline for the LLaVA model, including both the feature alignment stage and visual instruction tuning stage.

**Tasks**:
- [ ] Create data loaders for pretraining datasets
- [ ] Implement feature alignment training loop
- [ ] Implement visual instruction tuning training loop
- [ ] Add support for distributed training
- [ ] Add checkpointing and resuming functionality
- [ ] Create training configuration files
- [ ] Document the training process

**Labels**: enhancement, training

## Issue 2: Add Support for Model Quantization

**Title**: Add Support for Model Quantization

**Description**:
Implement more advanced quantization techniques to reduce the memory footprint and improve inference speed.

**Tasks**:
- [ ] Implement INT8 quantization
- [ ] Implement INT4 quantization
- [ ] Add support for GPTQ quantization
- [ ] Add support for AWQ quantization
- [ ] Benchmark performance and accuracy trade-offs
- [ ] Document quantization options

**Labels**: enhancement, optimization

## Issue 3: Improve Evaluation Suite

**Title**: Improve Evaluation Suite

**Description**:
Enhance the evaluation capabilities to support more benchmarks and metrics.

**Tasks**:
- [ ] Add support for VQAv2 benchmark
- [ ] Add support for GQA benchmark
- [ ] Add support for TextVQA benchmark
- [ ] Implement BLEU, ROUGE, and other NLG metrics
- [ ] Create visualizations for evaluation results
- [ ] Add support for batch evaluation

**Labels**: enhancement, evaluation

## Issue 4: Create Comprehensive Documentation

**Title**: Create Comprehensive Documentation

**Description**:
Improve the project documentation to make it more accessible and user-friendly.

**Tasks**:
- [ ] Create detailed API documentation
- [ ] Add more examples and tutorials
- [ ] Create a documentation website using GitHub Pages
- [ ] Add diagrams explaining the architecture
- [ ] Document all configuration options
- [ ] Create a troubleshooting guide

**Labels**: documentation

## Issue 5: Implement Web Demo

**Title**: Implement Web Demo

**Description**:
Create a web demo that allows users to try the model without installing anything.

**Tasks**:
- [ ] Create a simple web interface
- [ ] Deploy the model to Hugging Face Spaces
- [ ] Add example images for testing
- [ ] Support image upload
- [ ] Support different model configurations
- [ ] Add visualization of attention maps

**Labels**: enhancement, demo