attn_implementation ( str , optional) — The attention implementation to use in the model (if relevant). Can be any of "eager" (manual implementation of the ... |
14 дек. 2023 г. · Expected behavior. What should I do if I want to specify both of them? Besides, it cannot enable FA2 by modifying the model config with config. |
You may also set attn_implementation="sdpa" in from_pretrained() to explicitly request SDPA to be used. For now, Transformers supports SDPA inference and ... |
4 июн. 2024 г. · I am trying to optimise a fine-tuned BERT model for sequence classification using lower precision and SDPA . I am observing different behaviour ... |
Passes attn_implementation=config._attn_implementation when creating a model using AutoXxx.from_config . This ensures the attention implementation selected is ... |
The attention implementation to use in the model. Can be any of "eager" (manual implementation of the attention), "sdpa" (attention using [`torch.nn.functiona ... |
To enable Flash Attention on the text model, pass in attn_implementation="flash_attention_2" when instantiating the model. model = AutoModelForCausalLM ... |
Flash Attention is a technique designed to reduce memory movements between GPU SRAM and high-bandwidth memory (HBM). By using a tiling approach, Flash Attention ... |
16 июл. 2024 г. · You need to explicitly set "attn_implementation=eager" for gemma-2. The default value is "sdpa" which works for gemma-1 but not for gemma-2. Next up is gemma-2 ... |
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