| # Axolotl | |
| #### You know you're going to axolotl questions | |
| ## Getting Started | |
| - Download some datasets. | |
| ```shell | |
| curl https://raw.githubusercontent.com/tloen/alpaca-lora/main/alpaca_data_gpt4.json -o data/raw/alpaca_data_gpt4.json | |
| curl https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json -L -o data/raw/vicuna_cleaned.json | |
| curl https://github.com/teknium1/GPTeacher/blob/main/Instruct/gpt4-instruct-similarity-0.6-dataset.json?raw=true -L -o data/raw/gpt4-instruct-similarity-0.6-dataset.json | |
| curl https://github.com/teknium1/GPTeacher/blob/main/Roleplay/roleplay-similarity_0.6-instruct-dataset.json?raw=true -L -o data/raw/roleplay-similarity_0.6-instruct-dataset.json | |
| ``` | |
| - Convert the JSON data files to JSONL. | |
| ```shell | |
| python3 ./scripts/alpaca_json_to_jsonl.py --input data/alpaca_data_gpt4.json > data/alpaca_data_gpt4.jsonl | |
| python3 ./scripts/alpaca_json_to_jsonl.py --input data/raw/vicuna_cleaned.json > data/vicuna_cleaned.jsonl | |
| python3 ./scripts/alpaca_json_to_jsonl.py --input data/raw/roleplay-similarity_0.6-instruct-dataset.json > data/roleplay-similarity_0.6-instruct-dataset.jsonl | |
| python3 ./scripts/alpaca_json_to_jsonl.py --input data/raw/gpt4-instruct-similarity-0.6-dataset.json > data/gpt4-instruct-similarity-0.6-dataset.jsonl | |
| ``` | |
| - Using JSONL makes it easier to subset the data if you want a smaller training set, i.e get 2000 random examples. | |
| ```shell | |
| shuf -n2000 data/vicuna_cleaned.jsonl > data/vicuna_cleaned.subset0.jsonl | |
| ``` | |
| - Create a new or update the existing YAML config (config/pythia_1_2B_alpaca.yml)[config/pythia_1_2B_alpaca.yml] | |
| - Install python dependencies `pip3 install -e .[int4_triton]` or `pip3 install -e .[int4]` | |
| - 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 | |