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320c5b2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | # Extra Packages Required
This document lists additional packages needed for new features compared to the base v2 model that is already running.
## For LoRA Support (legrconv4x_llava_lora.py)
**Required Package:**
```bash
pip install peft>=0.5.0
```
**Purpose:**
- PEFT (Parameter-Efficient Fine-Tuning) library from HuggingFace
- Provides LoRA implementation for efficient model adaptation
- Used in `model/legrconv4x_llava_lora.py`
**Features Enabled:**
- Low-rank adaptation of LLaVA language model
- Efficient fine-tuning with minimal trainable parameters
- Save/load LoRA weights separately
- Proper integration with LLaVA's causal LM architecture
**Fixes Applied:**
- Changed TaskType to CAUSAL_LM (matches LLaVA's base class)
- Removed redundant requires_grad loop (PEFT handles this)
- Removed eval() call to allow proper LoRA dropout during training
- Fixed load_adapter to use proper PEFT loading method
---
## For Warmup Scheduler (already implemented)
**No additional packages required**
- Uses only PyTorch's built-in `_LRScheduler` class
- Implemented in `utils/warmup_scheduler.py`
---
## For AdamW Optimizer (already implemented)
**No additional packages required**
- AdamW is included in PyTorch (torch.optim.AdamW)
- Available in PyTorch >= 1.2.0
---
## For WandB Logging (already implemented)
**Already installed in v2**
- wandb package is already in the environment
- No additional installation needed
---
## Installation Command for All Extra Packages:
```bash
# Activate your conda environment first
conda activate llmf2
# Install only the new requirements
pip install peft>=0.5.0
``` |