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~~# Axolotl
#### You know you're going to axolotl questions
## Getting Started
- Point the config you are using to a huggingface hub dataset (see [configs/llama_7B_4bit.yml](https://github.com/winglian/axolotl/blob/main/configs/llama_7B_4bit.yml#L6-L8))
```yaml
datasets:
- path: vicgalle/alpaca-gpt4
type: alpaca
```
- Optionally Download some datasets, see [data/README.md](data/README.md)
- Create a new or update the existing YAML config [config/pythia_1_2B_alpaca.yml](config/pythia_1_2B_alpaca.yml)
- Install python dependencies with ONE of the following:
- `pip3 install -e .[int4]` (recommended)
- `pip3 install -e .[int4_triton]`
- `pip3 install -e .`
-
- If not using `int4` or `int4_triton`, run `pip install "peft @ git+https://github.com/huggingface/peft.git"`
- Configure accelerate `accelerate config` or update `~/.cache/huggingface/accelerate/default_config.yaml`
```yaml
compute_environment: LOCAL_MACHINE
distributed_type: MULTI_GPU
downcast_bf16: 'no'
gpu_ids: all
machine_rank: 0
main_training_function: main
mixed_precision: bf16
num_machines: 1
num_processes: 4
rdzv_backend: static
same_network: true
tpu_env: []
tpu_use_cluster: false
tpu_use_sudo: false
use_cpu: false
```
- Train! `accelerate launch scripts/finetune.py`, make sure to choose the correct YAML config file
- Alternatively you can pass in the config file like: `accelerate launch scripts/finetune.py configs/llama_7B_alpaca.yml`~~
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