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Urock-AI
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eddy-vl_embedding_v2

Feature Extraction
Transformers
Safetensors
English
Korean
multilingual
qwen3_5
vision-language
embedding
multimodal-embedding
mmeb
custom_code
Model card Files
xet
 Community
eddy-vl_embedding_v2

Commit History

Yesterday

  1. State the compute reduction directly

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  2. Clarify model card wording and keep the embedding token visible

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5 days ago

  1. Describe parameter bars as weights used for embedding

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  2. Note that lm_head is unused for embedding vectors

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  3. Describe the pruned stack as restored by distillation

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  4. Clarify that lm_head stays for serving

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  5. Explain why lm_head stays in the checkpoint

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6 days ago

  1. Remove the ambiguous WeMM identity sentence

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  2. Set WeMM-Embedding-2B as the only base model

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  3. Point SGLang 0.5.9 users at the WeMM serving steps

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  4. Remove SGLang 0.5.9 video patch

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  5. Show a complete embedding example

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  6. Record transformers 5.2.0, the version that loads this model

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  7. Drop the WeMM arXiv link from the model card

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  8. Use the model name as the citation title

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  9. Name WeMM-Embedding-2B instead of teacher

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  10. Add a short v2 fit summary above the scores

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  11. Add a v2 lead paragraph without the v1 technical report

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  12. Add in-house Qwen and Eddy task scores

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  13. Compare parameter counts across four embedding models

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  14. Drop the exact parameter and FLOP tables

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  15. Show parameter bars without lm_head

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  16. Drop the kept-versus-teacher bar chart

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  17. Add selected in-house MMEB-v2 task scores

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  18. Keep score comparison on the in-house run only

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  19. Show kept-score bars on a 0 to 100 scale

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  20. Add eddy-vl embedding v2

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  21. initial commit

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