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Is there a strict requirement for GPUs that support flash_attention? I tried to test on V100, but this GPU does not support flash_attention, resulting in an error with the Runtime Error: No available …
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# Description:
Hello! I appreciate the excellent work on benchmarking Performer and Longformer against the base Transformer. I’d like to propose the implementation of additional efficient Transformer…
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### Feature request
This request aims to introduce functionality to delete specific adapter layers integrated with PEFT (Parameter-Efficient Fine-Tuning) within the Hugging Face Transformers librar…
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https://proceedings.mlsys.org/paper_files/paper/2023/file/523f87e9d08e6071a3bbd150e6da40fb-Paper-mlsys2023.pdf
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Model generates only garbage.
Sample: https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/llama-3-8b-32k-sampling.ipynb
NeuronSDK2.19 PyTorc…
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(allegro) D:\PyShit\Allegro>python single_inference.py ^
More? --user_prompt "A seaside harbor with bright sunlight and sparkling seawater, with manyboats in the water. From an aerial view, the boats…
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您好，这篇论文 最近有开源计划吗
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### System Info
Environment:
OS: Ubuntu 24.04
Python version: 3.11.8
Transformers version: transformers==4.45.2
Torch version: torch==2.3.0
Model: Meta-Llama-3.1-70B-Q2_K-GGUF - https://hugg…
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https://arxiv.org/abs/2001.04451
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* https://arxiv.org/abs/2001.04451
* ICLR 2020
大規模なトランスモデルは日常的に多くのタスクで最先端の結果を得ていますが、これらのモデルのトレーニングは、特に長いシーケンスでは法外なコストがかかることがあります。
我々はトランスフォーマーの効率を向上させるために2つの手法を紹介する。
1つは、ドット積注意をロカリティ依存のハッシュを使用する…
e4exp updated
3 years ago