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# 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 |