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Add an example config for finetuning a 34B model on a 24GB GPU (#1000)
* Add an example config for finetuning a 34B model on a 24GB GPU * Remore wandb project
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# Overview | ||
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This is an example of a Yi-34B-Chat configuration. It demonstrates that it is possible to finetune a 34B model on a GPU with 24GB of VRAM. | ||
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Tested on an RTX 4090 with `python -m axolotl.cli.train examples/mistral/qlora.yml`, a single epoch of finetuning on the alpaca dataset using qlora runs in 47 mins, using 97% of available memory. |
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base_model: 01-ai/Yi-34B-Chat | ||
model_type: LlamaForCausalLM | ||
tokenizer_type: LlamaTokenizer | ||
is_mistral_derived_model: false | ||
is_llama_derived_model: true | ||
load_in_8bit: false | ||
load_in_4bit: true | ||
strict: false | ||
sequence_len: 1024 | ||
bf16: true | ||
fp16: false | ||
tf32: false | ||
flash_attention: true | ||
special_tokens: | ||
bos_token: "<|startoftext|>" | ||
eos_token: "<|endoftext|>" | ||
unk_token: "<unk>" | ||
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# Data | ||
datasets: | ||
- path: mhenrichsen/alpaca_2k_test | ||
type: alpaca | ||
warmup_steps: 10 | ||
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# Iterations | ||
num_epochs: 1 | ||
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# Evaluation | ||
val_set_size: 0.1 | ||
evals_per_epoch: 5 | ||
eval_table_size: | ||
eval_table_max_new_tokens: 128 | ||
eval_sample_packing: false | ||
eval_batch_size: 1 | ||
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# LoRA | ||
output_dir: ./qlora-out | ||
adapter: qlora | ||
lora_model_dir: | ||
lora_r: 32 | ||
lora_alpha: 16 | ||
lora_dropout: 0.05 | ||
lora_target_linear: true | ||
lora_fan_in_fan_out: | ||
lora_target_modules: | ||
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# Sampling | ||
sample_packing: false | ||
pad_to_sequence_len: false | ||
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# Batching | ||
gradient_accumulation_steps: 4 | ||
micro_batch_size: 1 | ||
gradient_checkpointing: true | ||
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# wandb | ||
wandb_project: | ||
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# Optimizer | ||
optimizer: paged_adamw_8bit | ||
lr_scheduler: cosine | ||
learning_rate: 0.0002 | ||
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# Misc | ||
train_on_inputs: false | ||
group_by_length: false | ||
early_stopping_patience: | ||
resume_from_checkpoint: | ||
local_rank: | ||
logging_steps: 1 | ||
xformers_attention: | ||
debug: | ||
deepspeed: | ||
weight_decay: 0 | ||
fsdp: | ||
fsdp_config: |