Remove deprecated logic and warnings#30743
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amyeroberts merged 5 commits intoMay 17, 2024
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ArthurZucker
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Thanks for the cleanup! A few nits here and there and we'll be good to go
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same here kwargs needs to be removed
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the buffers that are registered need to be deleted as well
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same comments as for llama!
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same comment as llama
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@ArthurZucker Thanks for the review! I've removed all of the kwargs being passed now, and the |
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miguelm-almeida
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Jul 10, 2024
- Comply with the the tensor building logic introduced in huggingface#30743 - Add referencing to the optimized Attention Factor equation - Remove Dynamic YaRN for a more agile deployment Co-authored-by: mig-mfreitas <[email protected]>
gante
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Jul 23, 2024
- Comply with the the tensor building logic introduced in huggingface#30743 - Add referencing to the optimized Attention Factor equation - Remove Dynamic YaRN for a more agile deployment Co-authored-by: mig-mfreitas <[email protected]>
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Jul 23, 2024
* Add YaRN and Dynamic-YaRN RoPE Scaling Methods YaRN (Yet another RoPE extension method) combines the NTK-By-Parts Interpolation and Attention Scaling methods, improving upon existing RoPE interpolation methods for longer context window sizes. Fine-tuned models maintain their original performance across benchmarks while enabling efficient extrapolation and transfer learning for quicker convergence, especially in compute-limited environments. We implement YaRN and Dynamic-YaRN for the following list of models: - LLaMA - Falcon - GPT-NeoX - Olmo - Persimmon - Phi - StableLM - OpenLLaMA New unit tests are added to assert YaRN's correct behavior on both short and long sequence inputs. For more details, please refer to https://arxiv.org/abs/2309.00071. Co-authored-by: Miguel Almeida <[email protected]> * Refactor YaRN implementation for LLaMA Iterate on YaRN implementation for LLaMA and remove diff from remaining models for increased PR modularity. This commit includes the following changes: - Merge 'yarn_rope_scaling' and 'rope_scaling' dictionaries - Remove unnecessary attributes ('extrapolation_factor' and 'finetuned') from YaRN classes - Inherit 'forward' method in YaRN classes from superclass - Rename 'yarn' method to 'compute_yarn_scaling' - Extend YaRN tests with further assertions - Fix style inconsistencies Co-authored-by: Miguel Monte e Freitas <[email protected]> * Refactor Tensor Building Logic for YaRN - Comply with the the tensor building logic introduced in #30743 - Add referencing to the optimized Attention Factor equation - Remove Dynamic YaRN for a more agile deployment Co-authored-by: mig-mfreitas <[email protected]> * remove unwanted file --------- Co-authored-by: Miguel Almeida <[email protected]> Co-authored-by: mig-mfreitas <[email protected]> Co-authored-by: Joao Gante <[email protected]>
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What does this PR do?
Kills a bunch of deprecated code