# Example config for debugging the sharegpt prompt format
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
is_llama_derived_model: true

load_in_8bit: true
load_in_4bit: false

datasets:
  - path: philschmid/guanaco-sharegpt-style
    type: sharegpt
    shards: 10
val_set_size: 0
output_dir: temp_debug/axolotl_outputs/model
dataset_prepared_path: temp_debug/axolotl_outputs/data
dataset_processes: 1

sequence_len: 4096
sample_packing: false
pad_to_sequence_len: true

adapter: lora
lora_model_dir:
lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true
lora_fan_in_fan_out:

micro_batch_size: 1
num_epochs: 1
max_steps: 10
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0002

train_on_inputs: false
group_by_length: false
bf16: false
fp16: true
tf32: false

gradient_checkpointing: true
logging_steps: 1
flash_attention: true

warmup_steps: 10
weight_decay: 0.0