vec-ai
/

lychee-embed

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

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izhx commited on Aug 17, 2025

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@@ -30,7 +30,7 @@ The first batch of open source is 1.5B parameter version.
 - Embedding Dim: 1536, Supports diverse settings with 32 steps from 32 to 1536
 - Model Precision: BF16
-For more details, please refer to our [paper](assets/colm25-paper.pdf).
 ### Model List
@@ -209,7 +209,7 @@ print(scores.tolist())
 |Qwen3-Embedding-0.6B | 0.60B | | 66.33 | 64.33 | | 75.41 |
 | **Lychee-embed** | 1.54B | 68.39 |69.77 | 58.43 | 53.85 | 72.54 | 86.35 | 5.74 | 19.47 |
-For more details, please refer to our [paper](assets/colm25-paper.pdf).
 ## Citation

 - Embedding Dim: 1536, Supports diverse settings with 32 steps from 32 to 1536
 - Model Precision: BF16
+For more details, please refer to our [Paper](https://openreview.net/pdf?id=NC6G1KCxlt).
 ### Model List
 |Qwen3-Embedding-0.6B | 0.60B | | 66.33 | 64.33 | | 75.41 |
 | **Lychee-embed** | 1.54B | 68.39 |69.77 | 58.43 | 53.85 | 72.54 | 86.35 | 5.74 | 19.47 |
+For more details, please refer to our [Paper](https://openreview.net/pdf?id=NC6G1KCxlt).
 ## Citation