[Persimmon] Add support for persimmon (#26042)
* intiial commit * updates * nits * update conversion script * update conversion script * use path to load * add tips etc * some modeling logic * modeling update * more nits * nits * normal layer norm * update config and doc * nits * update doc remove unused * update * fix inits and stuff * fixup * revert wrong changes * updates * more nits * add default config values to the configuration file * fixup happy * update * 2 tests left * update readmes * more nits * slow test and more documentation * update readme * fix licences * styling * use fast if possible when saving tokenizer * remove todo * remove tokenization tests * small last nits * Apply suggestions from code review Co-authored-by: Matt <Rocketknight1@users.noreply.github.com> * nits to skip the timout doctest * fix integration test * fix test * update eos token * update to allow fast tokenization * styling * fix codeLlama as well for the update post processor * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * add more copied from statements * update * doc passes doctest * remove `# final layer norm?` * change docstring prompot * update * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * don't doctest the conversion script as it requires more packages * don't init a model in the config * oups * fix doctest --------- Co-authored-by: Matt <Rocketknight1@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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@@ -198,6 +198,7 @@ The documentation is organized into five sections:
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1. **[Pegasus](model_doc/pegasus)** (from Google) released with the paper [PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization](https://arxiv.org/abs/1912.08777) by Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu.
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1. **[PEGASUS-X](model_doc/pegasus_x)** (from Google) released with the paper [Investigating Efficiently Extending Transformers for Long Input Summarization](https://arxiv.org/abs/2208.04347) by Jason Phang, Yao Zhao, and Peter J. Liu.
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1. **[Perceiver IO](model_doc/perceiver)** (from Deepmind) released with the paper [Perceiver IO: A General Architecture for Structured Inputs & Outputs](https://arxiv.org/abs/2107.14795) by Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira.
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1. **[Persimmon](model_doc/persimmon)** (from ADEPT) released in a [blog post](https://www.adept.ai/blog/persimmon-8b) by Erich Elsen, Augustus Odena, Maxwell Nye, Sağnak Taşırlar, Tri Dao, Curtis Hawthorne, Deepak Moparthi, Arushi Somani.
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1. **[PhoBERT](model_doc/phobert)** (from VinAI Research) released with the paper [PhoBERT: Pre-trained language models for Vietnamese](https://www.aclweb.org/anthology/2020.findings-emnlp.92/) by Dat Quoc Nguyen and Anh Tuan Nguyen.
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1. **[Pix2Struct](model_doc/pix2struct)** (from Google) released with the paper [Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding](https://arxiv.org/abs/2210.03347) by Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova.
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1. **[PLBart](model_doc/plbart)** (from UCLA NLP) released with the paper [Unified Pre-training for Program Understanding and Generation](https://arxiv.org/abs/2103.06333) by Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang.
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@@ -418,6 +419,7 @@ Flax), PyTorch, and/or TensorFlow.
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| Pegasus | ✅ | ✅ | ✅ |
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| PEGASUS-X | ✅ | ❌ | ❌ |
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| Perceiver | ✅ | ❌ | ❌ |
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| Persimmon | ✅ | ❌ | ❌ |
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| Pix2Struct | ✅ | ❌ | ❌ |
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| PLBart | ✅ | ❌ | ❌ |
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| PoolFormer | ✅ | ❌ | ❌ |
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