• File size measurements show the distribution of size of files.
• Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
• It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.

• There are 165 files with 29,788 lines of code.
• 5 very long files (6,580 lines of code)
• 8 long files (5,276 lines of code)
• 33 medium size files (10,989 lines of codeclsfd_ftr_w_mp_ins)
• 26 small files (4,003 lines of code)
• 93 very small files (2,940 lines of code)

There are 45 files with lines longer than 120 characters. In total, there are 299 long lines.

File	# lines	# units	# long lines
llama2-13b-chatbot.ipynb in notebooks/text-generation	461	-	29
deploy-llama-3-3-70b.ipynb in notebooks/sagemaker	366	-	26
deploy-mixtral-8x7b.ipynb in notebooks/sagemaker	425	-	26
CodeLlama-7B-Compilation.ipynb in notebooks/text-generation	305	-	21
fine_tune_bert.ipynb in notebooks/text-classification	324	-	21
trainers.py in optimum/neuron	1607	43	20
modeling_utils.py in optimum/neuron/models/training	1364	30	20
qwen3-fine-tuning.ipynb in notebooks/text-generation	350	-	18
neuronx.py in optimum/commands/export	303	4	17
neuron.py in optimum/commands/export	133	4	12
convert.py in optimum/exporters/neuron	490	8	8
getting-started.ipynb in notebooks/sentence-transformers	154	-	7
__main__.py in optimum/exporters/neuron	685	16	5
utils.py in optimum/exporters/neuron	468	11	5
transformations_utils.py in optimum/neuron/models/training	1293	58	5
accelerator.py in optimum/neuron/accelerate	422	18	5
modeling_diffusion.py in optimum/neuron	1260	50	4
utils.py in optimum/neuron/generation	1056	16	4
auto_fill_inference_cache.py in tools	286	7	4
runner.py in optimum/neuron/utils	494	12	3
version_utils.py in optimum/neuron/utils	84	7	3
modeling_traced.py in optimum/neuron	450	19	3
decoder_wrapper.py in optimum/neuron/models/inference/backend/modules/decoder	242	16	3
model_wrappers.py in optimum/exporters/neuron	567	26	2
base.py in optimum/neuron/pipelines/transformers	319	3	2
token_selector.py in optimum/neuron/generation	132	4	2
training_args.py in optimum/neuron	229	9	2
sampling.py in optimum/neuron/models/inference/backend/modules/generation	220	16	2
generation_utils.py in optimum/neuron/models/inference/backend/modules/generation	298	10	2
modeling_llama.py in optimum/neuron/models/inference/llama	396	15	2
misc.py in optimum/neuron/accelerate/utils	121	7	2
base.py in optimum/exporters/neuron	276	20	1
modeling_seq2seq.py in optimum/neuron	501	23	1
pipeline_controlnet_sd_xl.py in optimum/neuron/pipelines/diffusers	357	1	1
pipeline_utils.py in optimum/neuron/pipelines/diffusers	49	3	1
cache_utils.py in optimum/neuron/utils	195	14	1
misc.py in optimum/neuron/utils	475	14	1
hf_argparser.py in optimum/neuron	42	5	1
config.py in optimum/neuron/models/inference/backend	138	6	1
gqa.py in optimum/neuron/models/inference/backend/modules/attention	651	24	1
modeling_mixtral.py in optimum/neuron/models/inference/mixtral	184	10	1
auto_model.py in optimum/neuron/models	17	3	1
modeling_decoder.py in optimum/neuron	170	8	1
configuration_utils.py in optimum/neuron	198	10	1
create_examples_from_transformers.py in tools	173	9	1