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Im looking around Differential Transformer paper and code,
I found that github version is based on flash attention and rotary embedding.
I wonder that is there any plan to upload simple example with transformer using Diff attention and example argument (ex. adjust num_heads according to original transformer's or other positional embedding...)
Thanks
The text was updated successfully, but these errors were encountered:
I find several implements in github by searching Differential Transformer and I'm looking for a implement with static kv_cache and torch.compile for faster inference.
I find several implements in github by searching Differential Transformer and I'm looking for a implement with static kv_cache and torch.compile for faster inference.
Hi,
Im looking around Differential Transformer paper and code,
I found that github version is based on flash attention and rotary embedding.
I wonder that is there any plan to upload simple example with transformer using Diff attention and example argument (ex. adjust num_heads according to original transformer's or other positional embedding...)
Thanks
The text was updated successfully, but these errors were encountered: