axolotl/README.md

Axolotl

Go ahead and axolotl questions

Support Matrix

	fp16/fp32	fp16/fp32 w/ lora	4bit-quant	4bit-quant w/flash attention	flash attention	xformers attention
llama	✅	✅	✅	✅	✅	✅
Pythia	✅	✅	❌	❌	❌	❓
cerebras	✅	✅	❌	❌	❌	❓

Getting Started

• Point the config you are using to a huggingface hub dataset (see configs/llama_7B_4bit.yml)

datasets:
  - path: vicgalle/alpaca-gpt4
    type: alpaca

• Optionally Download some datasets, see data/README.md

• Create a new or update the existing YAML config 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

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~~