├── .gitignore ├── LICENSE ├── README.md ├── datasets ├── procthor_converted │ └── README.md └── rplan_converted │ └── README.md ├── generations └── README.md ├── models └── README.md ├── procthor_dataset.py ├── procthor_dataset_convert.py ├── recipes ├── README.md ├── benchmarks │ ├── fmbench │ │ ├── README.md │ │ ├── config.yml │ │ └── img │ │ │ ├── CFT.png │ │ │ ├── instances.png │ │ │ └── latency_vs_tokens.png │ └── inference_throughput │ │ ├── README.md │ │ ├── cloud-api │ │ ├── README.md │ │ └── azure │ │ │ ├── chat_azure_api_benchmark.py │ │ │ ├── input.jsonl │ │ │ ├── parameters.json │ │ │ └── pretrained_azure_api_benchmark.py │ │ ├── on-prem │ │ ├── README.md │ │ └── vllm │ │ │ ├── chat_vllm_benchmark.py │ │ │ ├── input.jsonl │ │ │ ├── parameters.json │ │ │ └── pretrained_vllm_benchmark.py │ │ ├── requirements.txt │ │ └── tokenizer │ │ ├── special_tokens_map.json │ │ ├── tokenizer.json │ │ ├── tokenizer.model │ │ └── tokenizer_config.json ├── code_llama │ ├── README.md │ ├── code_completion_example.py │ ├── code_completion_prompt.txt │ ├── code_infilling_example.py │ ├── code_infilling_prompt.txt │ └── code_instruct_example.py ├── evaluation │ ├── README.md │ ├── eval.py │ ├── open_llm_eval_prep.sh │ └── open_llm_leaderboard │ │ ├── arc_challeneg_25shots.yaml │ │ ├── hellaswag_10shots.yaml │ │ ├── hellaswag_utils.py │ │ ├── mmlu_5shots.yaml │ │ └── winogrande_5shots.yaml ├── finetuning │ ├── LLM_finetuning_overview.md │ ├── README.md │ ├── datasets │ │ ├── README.md │ │ └── custom_dataset.py │ ├── finetuning.py │ ├── huggingface_trainer │ │ └── peft_finetuning.ipynb │ ├── multi_node.slurm │ ├── multigpu_finetuning.md │ └── singlegpu_finetuning.md ├── inference │ ├── llama_web_ui │ │ ├── Llama2_Gradio.ipynb │ │ ├── README.md │ │ ├── requirements.txt │ │ └── streamlit_llama2.py │ ├── local_inference │ │ ├── README.md │ │ ├── chat_completion │ │ │ ├── chat_completion.py │ │ │ └── chats.json │ │ ├── inference.py │ │ └── samsum_prompt.txt │ └── model_servers │ │ ├── README.md │ │ ├── hf_text_generation_inference │ │ ├── README.md │ │ └── merge_lora_weights.py │ │ ├── llama-on-prem.md │ │ └── vllm │ │ └── inference.py ├── llama_api_providers │ ├── Azure_API_example │ │ └── azure_api_example.ipynb │ ├── OctoAI_API_examples │ │ ├── Getting_to_know_Llama.ipynb │ │ ├── HelloLlamaCloud.ipynb │ │ ├── LiveData.ipynb │ │ ├── Llama2_Gradio.ipynb │ │ ├── RAG_Chatbot_example │ │ │ ├── RAG_Chatbot_Example.ipynb │ │ │ ├── data │ │ │ │ └── Llama Getting Started Guide.pdf │ │ │ ├── requirements.txt │ │ │ └── vectorstore │ │ │ │ └── db_faiss │ │ │ │ ├── index.faiss │ │ │ │ └── index.pkl │ │ └── VideoSummary.ipynb │ ├── Using_Externally_Hosted_LLMs.ipynb │ └── examples_with_aws │ │ ├── Prompt_Engineering_with_Llama_2_On_Amazon_Bedrock.ipynb │ │ ├── ReAct_Llama_3_Bedrock-WK.ipynb │ │ └── getting_started_llama_3_on_amazon_bedrock.ipynb ├── multilingual │ ├── README.md │ ├── extend_tokenizer.py │ ├── imgs │ │ ├── phase1-eval-loss.png │ │ ├── phase1-train-loss.png │ │ ├── phase2-eval-loss.png │ │ └── phase2-train-loss.png │ ├── prepare_data.py │ └── train_tokenizer.py ├── quickstart │ ├── Getting_to_know_Llama.ipynb │ ├── Prompt_Engineering_with_Llama_2.ipynb │ └── Running_Llama3_Anywhere │ │ ├── Running_Llama_on_HF_transformers.ipynb │ │ └── Running_Llama_on_Mac_Windows_Linux.ipynb ├── responsible_ai │ ├── CodeShieldUsageDemo.ipynb │ ├── Purple_Llama_Anyscale.ipynb │ ├── Purple_Llama_OctoAI.ipynb │ ├── README.md │ ├── input_output_guardrails_with_llama.ipynb │ └── llama_guard │ │ ├── README.md │ │ ├── __init__.py │ │ └── inference.py └── use_cases │ ├── LiveData.ipynb │ ├── RAG │ └── HelloLlamaCloud.ipynb │ ├── README.md │ ├── VideoSummary.ipynb │ ├── chatbots │ ├── RAG_chatbot │ │ ├── RAG_Chatbot_Example.ipynb │ │ ├── data │ │ │ └── Llama Getting Started Guide.pdf │ │ ├── requirements.txt │ │ └── vectorstore │ │ │ ├── db_faiss │ │ │ ├── index.faiss │ │ │ └── index.pkl │ │ │ └── mongodb │ │ │ └── rag_mongodb_llama3_huggingface_open_source.ipynb │ ├── messenger_llama │ │ ├── llama_messenger.py │ │ └── messenger_llama3.md │ └── whatsapp_llama │ │ ├── llama_chatbot.py │ │ └── whatsapp_llama3.md │ └── text2sql │ ├── StructuredLlama.ipynb │ ├── csv2db.py │ ├── nba.txt │ ├── nba_roster.db │ └── txt2csv.py ├── requirements.txt ├── requirements_llama3.txt ├── rplan_dataset.py ├── rplan_dataset_convert.py ├── run_generation_procthor.py ├── run_generation_rplan.py ├── run_metric.py └── src ├── __init__.py ├── llama_recipes ├── configs │ ├── __init__.py │ ├── datasets.py │ ├── fsdp.py │ ├── peft.py │ ├── training.py │ └── wandb.py ├── data │ ├── __init__.py │ ├── concatenator.py │ ├── llama_guard │ │ ├── README.md │ │ ├── __init__.py │ │ ├── finetuning_data_formatter.py │ │ └── finetuning_data_formatter_example.py │ └── sampler.py ├── finetuning.py ├── finetuning_bbox.py ├── inference │ ├── __init__.py │ ├── chat_utils.py │ ├── checkpoint_converter_fsdp_hf.py │ ├── llm.py │ ├── model_utils.py │ ├── prompt_format_utils.py │ └── safety_utils.py ├── model_checkpointing │ ├── __init__.py │ └── checkpoint_handler.py ├── policies │ ├── __init__.py │ ├── activation_checkpointing_functions.py │ ├── anyprecision_optimizer.py │ ├── mixed_precision.py │ └── wrapping.py ├── tools │ └── convert_hf_weights_to_llama.py └── utils │ ├── __init__.py │ ├── config_utils.py │ ├── dataset_utils.py │ ├── flop_utils.py │ ├── fsdp_utils.py │ ├── hf_llama_conversion │ ├── README.md │ └── compare_llama_weights.py │ ├── memory_utils.py │ ├── plot_metrics.py │ └── train_utils.py ├── metrics ├── __init__.py ├── file_consistency.py ├── prompt_consistency.py └── self_consistency.py ├── pred ├── __init__.py └── extract_output_json.py └── utils ├── __init__.py ├── bubble_graph.py ├── eval_overall.py ├── eval_sample.py ├── fp_plot ├── __init__.py └── procthorpy │ ├── __init__.py │ ├── plot.py │ └── utils.py ├── json_check ├── __init__.py ├── schema.py └── verify.py ├── json_repair.py ├── 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