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Llama3.2 1B Embedding Model Support #11909
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Signed-off-by: suiyoubi <[email protected]>
Signed-off-by: suiyoubi <[email protected]>
Signed-off-by: suiyoubi <[email protected]>
Signed-off-by: suiyoubi <[email protected]>
Signed-off-by: suiyoubi <[email protected]>
Signed-off-by: suiyoubi <[email protected]>
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lgtm, thanks Ao
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loss = None | ||
if labels is not None: | ||
labels = labels.to(logits.device) |
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This line should raise an error since there is no logits
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Ao will talk to retriever's team on this and will create sub-PR to fix
[🤖]: Hi @suiyoubi 👋, We wanted to let you know that a CICD pipeline for this PR just finished successfully So it might be time to merge this PR or get some approvals I'm just a bot so I'll leave it you what to do next. //cc @pablo-garay @ko3n1g |
* Add NVEmbed * doc * revert * add finetune capacity * fix accuracy issue * Apply isort and black reformatting Signed-off-by: suiyoubi <[email protected]> * revert gpt base * FIx the loss and exporter * Apply isort and black reformatting Signed-off-by: suiyoubi <[email protected]> * Remove the option to do encode separately for perf * change to property for dataset kwargs * Add recipe * Apply isort and black reformatting Signed-off-by: suiyoubi <[email protected]> * rename to LlamaEmbeddingModel * Apply isort and black reformatting Signed-off-by: suiyoubi <[email protected]> * uplload hf llama embedding * Apply isort and black reformatting Signed-off-by: suiyoubi <[email protected]> * add resume_path * Apply isort and black reformatting Signed-off-by: suiyoubi <[email protected]> * Add coipyright --------- Signed-off-by: suiyoubi <[email protected]> Co-authored-by: suiyoubi <[email protected]>
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