[CodeLlama] Add support for CodeLlama (#25740)

* add all

* Revert "Delete .github directory"

This reverts commit 9b0ff7b052e2b20b629a26fb13606b78a42944d1.

* make conversion script backward compatible

* fixup

* more styling

* copy to llama changes

* fix repo consistency

* nits

* document correct classes

* updates

* more fixes

* nits

* update auto mappings

* add readmes

* smallupdates

* llama-code replace with llama_code

* make fixup

* updates to the testsing suite

* fix fast nits

* more small fixes

* fix decode

* fix template processing

* properly reset the normalizer

* nits processor

* tokenization tests pass

* styling

* last tests

* additional nits

* one test is left

* nits

Co-authored-by faabian <faabian@users.noreply.github.com>

* update failing test

* fixup

* remove decode infilling users should handle it on their onw after generation, padding can be a problem

* update

* make test slow and more meaningfull

* fixup

* doc update

* fixup

* Apply suggestions from code review

* add kwargs doc

* tokenizer requires `requires_backend`

* type requires_backends

* CodeLlama instead of LlamaCode

* more name cahnges

* nits

* make doctests happy

* small pipeline nits

* last nit

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* update

* add codellama to toctree

---------

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

docs/source/en/index.md

@@ -84,6 +84,7 @@ The documentation is organized into five sections:
 1. **[CLIP](model_doc/clip)** (from OpenAI) released with the paper [Learning Transferable Visual Models From Natural Language Supervision](https://arxiv.org/abs/2103.00020) by Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever.
 1. **[CLIPSeg](model_doc/clipseg)** (from University of Göttingen) released with the paper [Image Segmentation Using Text and Image Prompts](https://arxiv.org/abs/2112.10003) by Timo Lüddecke and Alexander Ecker.
 1. **[CodeGen](model_doc/codegen)** (from Salesforce) released with the paper [A Conversational Paradigm for Program Synthesis](https://arxiv.org/abs/2203.13474) by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong.
+1. **[CodeLlama](model_doc/llama_code)** (from MetaAI) released with the paper [Code Llama: Open Foundation Models for Code](https://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/) by Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve.
 1. **[Conditional DETR](model_doc/conditional_detr)** (from Microsoft Research Asia) released with the paper [Conditional DETR for Fast Training Convergence](https://arxiv.org/abs/2108.06152) by Depu Meng, Xiaokang Chen, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun, Jingdong Wang.
 1. **[ConvBERT](model_doc/convbert)** (from YituTech) released with the paper [ConvBERT: Improving BERT with Span-based Dynamic Convolution](https://arxiv.org/abs/2008.02496) by Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan.
 1. **[ConvNeXT](model_doc/convnext)** (from Facebook AI) released with the paper [A ConvNet for the 2020s](https://arxiv.org/abs/2201.03545) by Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie.
@@ -311,6 +312,7 @@ Flax), PyTorch, and/or TensorFlow.
 |             CLIP              |       ✅        |         ✅         |      ✅      |
 |            CLIPSeg            |       ✅        |         ❌         |      ❌      |
 |            CodeGen            |       ✅        |         ❌         |      ❌      |
+|           CodeLlama           |       ✅        |         ❌         |      ❌      |
 |       Conditional DETR        |       ✅        |         ❌         |      ❌      |
 |           ConvBERT            |       ✅        |         ✅         |      ❌      |
 |           ConvNeXT            |       ✅        |         ✅         |      ❌      |