
    h                        S r SSKrSSKJr  SSKJrJr  SSKJrJ	r	J
r
JrJrJrJrJrJr  \R"                  R%                  SS5        \S:X  Ga(  \" \\\45      r\R+                  5       u  rrr\" \R4                  \R6                  \R8                  \R:                  \R<                  (       a  S	OS
S9r\" \5      r \ b  \" 5       \S'   \ \S'   \\l!        \" \R4                  \R6                  \R8                  \R:                  S
S9r"\ b  \" 5       \S'   \ \S'   \"\l#        \RH                  " \RJ                  \R4                  \R6                  SS9r&\&RN                  c  \&RP                  \&l'        \" \RR                  \RT                  S9r+\	" \RJ                  \RX                  \\+\RZ                     \R\                  S:w  a  \+\R^                     OS\&\" \5      S9r0\R\                  S:w  a5  \" \Rb                  S
\Rd                  S9r3\
" \0\3SS9r4\0Rk                  \45        \0Rm                  5         \0Ro                  \Rp                  5        \Rr                  (       a  \0Rs                  \RR                  S9  ggg)aV  
# Full training:
python examples/scripts/gkd.py     --model_name_or_path Qwen/Qwen2-0.5B-Instruct     --teacher_model_name_or_path Qwen/Qwen2-1.5B-Instruct     --dataset_name trl-lib/chatbot_arena_completions     --learning_rate 2e-5     --per_device_train_batch_size 4     --gradient_accumulation_steps 8     --output_dir gkd-model     --num_train_epochs 1     --push_to_hub     --gradient_checkpointing

# LoRA:
python examples/scripts/gkd.py     --model_name_or_path Qwen/Qwen2-0.5B-Instruct     --teacher_model_name_or_path Qwen/Qwen2-1.5B-Instruct     --dataset_name trl-lib/chatbot_arena_completions     --learning_rate 2e-4     --per_device_train_batch_size 4     --gradient_accumulation_steps 8     --output_dir gkd-model     --num_train_epochs 1     --push_to_hub     --gradient_checkpointing     --use_peft     --lora_r 64     --lora_alpha 16
    N)load_dataset)AutoTokenizerGenerationConfig)		GKDConfig
GKDTrainerLogCompletionsCallbackModelConfigScriptArguments	TrlParserget_kbit_device_mapget_peft_configget_quantization_configTRACKIO_SPACE_IDztrl-trackio__main__FT)revisiontrust_remote_codeattn_implementationdtype	use_cache
device_mapquantization_configleft)r   r   padding_side)nameno)modelteacher_modelargstrain_dataseteval_datasetprocessing_classpeft_config)max_new_tokens	do_sampletemperature   )num_prompts)dataset_name):__doc__osdatasetsr   transformersr   r   trlr   r   r   r	   r
   r   r   r   r   environ
setdefault__name__parserparse_args_and_configscript_argstraining_args
model_argsdictmodel_revisionr   r   r   gradient_checkpointingmodel_kwargsr   model_init_kwargsteacher_model_kwargsteacher_model_init_kwargsfrom_pretrainedmodel_name_or_path	tokenizer	pad_token	eos_tokenr(   dataset_configdatasetteacher_model_name_or_pathdataset_train_spliteval_strategydataset_test_splittrainerr#   r%   generation_configcompletions_callbackadd_callbacktrain
save_model
output_dirpush_to_hub     N/home/james-whalen/.local/lib/python3.13/site-packages/examples/scripts/gkd.py<module>rS      s  0> 
 ! 8
 
 
 

  (- 8 zK@AF-3-I-I-K*K

 **$66&::(??%TL 2*=&%8%:\".A*+&2M#**$66&:: &%8%:\".A*+.BM+--%%**$66	I "'11	
 ;33+:T:TUG
 ++#>>k==>@M@[@[_c@cW[;;<im"#J/G ""d*,(774UbUnUn
  6g?P^_`12MMO }//0  )A)AB !U rQ   