README.md

# HIL Code LlamaFactory Setup

## Reproduce Setup

LlamaFactory expects custom local datasets under its `data/` directory, registered in `data/dataset_info.json`, and example training YAMLs under `examples/`. 

```bash
uv venv .venv/hil-code --python=3.12
source .venv/hil-code/bin/activate
git clone https://github.com/hiyouga/LlamaFactory.git LlamaFactory
uv pip install -e ./LlamaFactory -r LlamaFactory/requirements/metrics.txt
uv pip install -r LlamaFactory/requirements/galore.txt -r LlamaFactory/requirements/badam.txt
cp data/hil_code_dpo.json LlamaFactory/data/hil_code_dpo.json
cp data/dataset_info.json LlamaFactory/data/dataset_info.json
cp examples/train_lora/qwen36_lora_dpo.yaml LlamaFactory/examples/train_lora/qwen36_lora_dpo.yaml
```

The local config uses `template: qwen3_5` because this LlamaFactory revision does not define a `qwen3_6` template, and `Qwen/Qwen3.6-27B` is handled through the Qwen3.5 model family path.

## Train

Run from the workspace root:

```bash
mkdir -p .cache/matplotlib
source .venv/hil-code/bin/activate
MPLCONFIGDIR="$PWD/.cache/matplotlib" CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 llamafactory-cli train LlamaFactory/examples/train_lora/qwen36_lora_dpo.yaml
```

For multi-GPU CUDA/Linux training of the 27B model, install the platform-specific extras in the same venv on the target machine:

```bash
source .venv/hil-code/bin/activate
uv pip install -r LlamaFactory/requirements/deepspeed.txt
uv pip install -r LlamaFactory/requirements/liger-kernel.txt
```

References:

- LlamaFactory docs: https://llamafactory.readthedocs.io/en/latest/
- LlamaFactory data format notes: `LlamaFactory/data/README.md`
- LlamaFactory DPO docs: `LlamaFactory/docs/en/training/dpo.md`

To avoid the influences of special tokens that contained in the code, please use the following commands to run the training

IMAGE_PLACEHOLDER='<<LF_ACTUAL_IMAGE_PLACEHOLDER>>' \
VIDEO_PLACEHOLDER='<<LF_ACTUAL_VIDEO_PLACEHOLDER>>' \
AUDIO_PLACEHOLDER='<<LF_ACTUAL_AUDIO_PLACEHOLDER>>' \
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 .venv/hil-code/bin/llamafactory-cli train \
    LlamaFactory/examples/train_lora/qwen36_lora_dpo.yaml

IMAGE_PLACEHOLDER='<<LF_ACTUAL_IMAGE_PLACEHOLDER>>' \
VIDEO_PLACEHOLDER='<<LF_ACTUAL_VIDEO_PLACEHOLDER>>' \
AUDIO_PLACEHOLDER='<<LF_ACTUAL_AUDIO_PLACEHOLDER>>' \
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 .venv/hil-code/bin/llamafactory-cli train \
    LlamaFactory/examples/train_lora/qwen36_lora_sft.yaml