• 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 48 files with 37,612 lines of code.
• 8 very long files (16,017 lines of code)
• 22 long files (14,946 lines of code)
• 18 medium size files (6,649 lines of codeclsfd_ftr_w_mp_ins)
• 0 small files (0 lines of code)
• 0 very small files (0 lines of code)

There are 48 files with lines longer than 120 characters. In total, there are 7361 long lines.

File	# lines	# units	# long lines
[PaliGemma_2]Convert_PaliGemma2_to_ONNX.ipynb in PaliGemma	6591	-	5158
[Gemma_2]Game_Design_Brainstorming.ipynb in Gemma	1065	-	158
[Gemma_1]Using_with_OneTwo.ipynb in Gemma	432	-	135
[PaliGemma_1]Image_captioning.ipynb in PaliGemma	465	-	122
[Gemma_2]Deploy_with_vLLM.ipynb in Gemma	522	-	108
[Gemma_2]Using_with_Elasticsearch_and_LangChain.ipynb in Gemma	1417	-	96
[Gemma_2]evaluation.ipynb in Gemma	451	-	88
[Gemma_2]Keras_Quickstart_Chat.ipynb in Gemma	779	-	82
[Gemma_1]Self_extend.ipynb in Workshops	563	-	81
[Gemma_2]Finetune_with_JORA.ipynb in Gemma	1141	-	80
[Gemma_2]Agentic_AI.ipynb in Gemma	564	-	74
[Gemma_2]Aligning_DPO.ipynb in Gemma	1646	-	71
[Gemma_2]Using_with_Xinference.ipynb in Gemma	796	-	67
[Gemma_2]Using_with_Langfun_and_LlamaCpp_Python_Bindings.ipynb in Gemma	940	-	61
[Gemma_1]Advanced_Prompting_Techniques.ipynb in Gemma	873	-	58
[Gemma_1]Using_with_Ollama.ipynb in Gemma	301	-	56
[Gemma_2]LangChain_chaining.ipynb in Gemma	570	-	54
[Gemma_2]Using_with_Langfun_and_LlamaCpp.ipynb in Gemma	745	-	53
[Gemma_1]Inference_on_TPU.ipynb in Gemma	431	-	53
[Gemma_2]Finetune_with_CALM.ipynb in Gemma	799	-	52
[Gemma_1]Common_use_cases.ipynb in Gemma	625	-	46
[Gemma_2]Using_with_mistral_rs.ipynb in Gemma	506	-	45
[Gemma_2]Keras_Quickstart.ipynb in Gemma	341	-	43
[Gemma_2]on_Groq.ipynb in Gemma	301	-	38
[TxGemma]Quickstart_with_Model_Garden.ipynb in TxGemma	711	-	38
[Gemma_1]Basics_with_HF.ipynb in Gemma	949	-	36
[CodeGemma_1]Finetune_with_SQL.ipynb in CodeGemma	1036	-	33
[Gemma_2]Prompt_chaining.ipynb in Gemma	597	-	32
[PaliGemma_1]Referring_expression_segmentation_in_videos.ipynb in PaliGemma	716	-	32
[Gemma_2]Gradio_Chatbot.ipynb in Gemma	582	-	30
[Gemma_2]Using_Gemini_and_Gemma_with_RouteLLM.ipynb in Gemma	426	-	29
[Gemma_2]Using_with_LangChain.ipynb in Gemma	1130	-	27
[Gemma_2]for_Japan_using_Transformers_and_PyTorch.ipynb in Gemma	1991	-	26
[CodeGemma_1]Common_use_cases.ipynb in CodeGemma	506	-	25
[Gemma_2]Using_with_LlamaCpp.ipynb in Gemma	351	-	25
[Gemma_2]Using_with_Llamafile.ipynb in Gemma	481	-	23
[Gemma_2]Using_with_LocalGemma.ipynb in Gemma	333	-	21
[Gemma_3]Gradio_LlamaCpp_Chatbot.ipynb in Gemma	525	-	16
[Gemma_2]RAG_LlamaIndex.ipynb in Gemma	780	-	15
[PaliGemma_1]Zero_shot_object_detection_in_videos.ipynb in PaliGemma	586	-	14
[Gemma_2]RAG_PDF_Search_in_multiple_documents_on_Colab.ipynb in Gemma	390	-	13
[Gemma_3]Activation_Hacking.ipynb in Gemma	712	-	11
[Gemma_2]Guess_the_word.ipynb in Gemma	315	-	8
[Gemma_3]Using_with_Ollama_Python_Inference_with_Images.ipynb in Gemma	405	-	6
[Gemma_3]Using_with_Transformersjs.ipynb in Gemma	253	-	6
[Gemma_2]Function_Calling_with_Groq_Langchain.ipynb in Gemma	252	-	6
[PaliGemma_2]Using_with_Transformersjs.ipynb in PaliGemma	302	-	6
[Gemma_2]Using_with_Ollama_Python.ipynb in Gemma	419	-	4