llama-cookbook

This release import bug fixes and some doc changes.

What's Changed

• Improve discoverability of 3.2 recipes by @subramen in https://github.com/meta-llama/llama-recipes/pull/684
• fix readme by @wukaixingxp in https://github.com/meta-llama/llama-recipes/pull/679
• fix AutoModel and bump transformers version to 4.45 by @wukaixingxp in https://github.com/meta-llama/llama-recipes/pull/686
• post1 release version bump by @mreso in https://github.com/meta-llama/llama-recipes/pull/687

This release accompanies the release of Llama 3.2 which included new versions of the Llama models in sizes of 1B, 3B, 11B and 90B. To get started with the new models you can find information in the official documentation or the on the HuggingFace hub. Further details can also be found in the model card and the The Llama 3 Herd of Models paper. For this release we updated the documentation and made sure all components work with the new models including multimodal finetuning.

What's Changed

Integrate Llama 3.2

• Upstream merge by @albertodepaola in https://github.com/meta-llama/llama-recipes/pull/677

New and updated recipes

• Adding end-to-end llama chatbot recipe using Retrieval Augmented Fine Tuning (RAFT) by @wukaixingxp in https://github.com/meta-llama/llama-recipes/pull/569
• [WIP] adding chatbot-e2e by @HamidShojanazeri in https://github.com/meta-llama/llama-recipes/pull/462
• [Azure] Update Azure API usage example to 3.1 by @WuhanMonkey in https://github.com/meta-llama/llama-recipes/pull/615
• Corrected wrong order of commands by @BakungaBronson in https://github.com/meta-llama/llama-recipes/pull/602
• Fill in one sentence in the prompt guard tutorial. by @cynikolai in https://github.com/meta-llama/llama-recipes/pull/609
• Llamaguard notebook colab link fix by @tryrobbo in https://github.com/meta-llama/llama-recipes/pull/619
• Updating llama 3 references to 3.1 model by @init27 in https://github.com/meta-llama/llama-recipes/pull/632
• recipes/quickstart/Getting_to_know_Llama.ipynb, typo fix lama -> llama line 127 by @cselip in https://github.com/meta-llama/llama-recipes/pull/635
• Update hello_llama_cloud.ipynb by @MrDlt in https://github.com/meta-llama/llama-recipes/pull/584
• Update hello_llama_cloud.ipynb by @MrDlt in https://github.com/meta-llama/llama-recipes/pull/638
• Add preprocessor to patch PromptGuard scores for inserted characters by @cynikolai in https://github.com/meta-llama/llama-recipes/pull/636
• Eval reproduce recipe using lm-evaluation-harness and our 3.1 evals datasets by @wukaixingxp in https://github.com/meta-llama/llama-recipes/pull/627

Documentation update

• Update readme text to be version-agnostic by @subramen in https://github.com/meta-llama/llama-recipes/pull/614
• Move supported features table to main README by @subramen in https://github.com/meta-llama/llama-recipes/pull/616
• document less obvious training config parameters by @kjslag in https://github.com/meta-llama/llama-recipes/pull/522

Misc fixes

• Enable users to trust remote code in samsum dataset by @mreso in https://github.com/meta-llama/llama-recipes/pull/628
• Use new get_model_state_dict api for save_pretrained peft model by @mreso in https://github.com/meta-llama/llama-recipes/pull/629
• Fix version number in Python example by @wstnmssr in https://github.com/meta-llama/llama-recipes/pull/643
• Fix checkpoint saving by @mreso in https://github.com/meta-llama/llama-recipes/pull/650
• Adding custom dataset file by @goswamig in https://github.com/meta-llama/llama-recipes/pull/659
• Make gradio and langchain optional dependencies by @mreso in https://github.com/meta-llama/llama-recipes/pull/676
• Update get_default_finetune_args.py by @edamamez in https://github.com/meta-llama/llama-recipes/pull/662
• Fix/custom dataset chat template by @mreso in https://github.com/meta-llama/llama-recipes/pull/665
• Create v0.0.4 release by @mreso in https://github.com/meta-llama/llama-recipes/pull/678

New Contributors

• @cynikolai made their first contribution in https://github.com/meta-llama/llama-recipes/pull/609
• @BakungaBronson made their first contribution in https://gith

Llama 3.1 Integration

This release accompanies the release of Llama 3.1 which included new versions of the Llama 8B and 70B models as well as the new 405B version. To get started with the new models you can find information in the official documentation or the on the HuggingFace hub. Further details can also be found in the model card and the Llama 3.1 paper. For this release we updated the documentation and made sure all components work with the new models.

• Release update by @albertodepaola @cynikolai @mreso @subramen @tryrobbo @varunfb in #603

New Features

We also added new features like FSDP + QLoRA fine-tuning and H2O algorithm for long context inference.

• Implement H2O for long context inference on summarization tasks by @Kyriection in #411
• Resume the fine-tuning process from the previous PEFT checkpoint folder by @wukaixingxp in #531
• Update hf weight conversion script to llama 3 by @dongwang218 in #551
• Adding support for FSDP+Qlora. by @HamidShojanazeri in #572

Additional Examples

Besides, we added new examples to get you up and running quickly with the Llama models

• Add Groq/Llama3 recipes (cookbook and command line examples) by @dloman118 in #553
• [WIP] Peft Finetuning Quickstart Notebook by @mreso in #558
• 4 notebooks ported from 4 DLAI agent short courses using Llama 3 by @jeffxtang in #560
• [lamini] Add lamini text2sql memory tuning tutorial by @powerjohnnyli in #573
• colab links fixed for dlai agents notebooks by @jeffxtang in #593
• Port of DLAI LlamaIndex Agent short course lessons 2-4 to use Llama 3 by @jeffxtang in #594

Codebase Refactor

We also refactored our codebase to improve discoverability of our documentation and recipes

• New structure and rename for tools, docs and quickstart folder by @pia-papanna in #575
• Add Langchain agent notebooks to 3P_Integrations by @subramen in #576
• Updates to benchmarks code by @subramen in #577
• Add README for quickstart + update to codellama url by @subramen in #578
• Updating the folder name 3p_integrations by @pia-papanna in #581
• Deleting Agents folder and adding llamaindex by @pia-papanna in #582
• Update 3p_integration README.md by [@subramen](https://github.c