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Inspired from this paper, we're exploring ways to bootstrap a bidirectional-context LLM from a decoder-only Causal LLM (e.g. llama-3). This is very easy to do in huggingface transformers by passing a custom attention mask.
Looking for guidance on how to make this happen in vLLM?
TLDR;
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Inspired from this paper, we're exploring ways to bootstrap a bidirectional-context LLM from a decoder-only Causal LLM (e.g. llama-3). This is very easy to do in huggingface transformers by passing a custom attention mask.
Looking for guidance on how to make this happen in vLLM?
TLDR;
Help appreciated!
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