fix: fix license for colpali and unicom (#723)

NOTICE

@@ -12,8 +12,8 @@ This distribution includes the following Jina AI models, each with its respectiv
 
 These models are developed by Jina (https://jina.ai/) and are subject to Jina AI's licensing terms.
 
-This distribution includes the following Google models, each with its respective license:
-- vidore/colpali-v1.3
+This distribution includes the following Gemma-based models, each with its respective license:
+- Qdrant/colpali-v1.3-fp16
     - License: gemma
 - google/embeddinggemma-300m
     - License: gemma

fastembed/image/onnx_embedding.py

@@ -33,7 +33,7 @@ supported_onnx_models: list[DenseModelDescription] = [
         model="Qdrant/Unicom-ViT-B-16",
         dim=768,
         description="Image embeddings (more detailed than Unicom-ViT-B-32), Multimodal (text&image), 2023 year",
-        license="apache-2.0",
+        license="mit",
         size_in_GB=0.82,
         sources=ModelSource(hf="Qdrant/Unicom-ViT-B-16"),
         model_file="model.onnx",
@@ -42,7 +42,7 @@ supported_onnx_models: list[DenseModelDescription] = [
         model="Qdrant/Unicom-ViT-B-32",
         dim=512,
         description="Image embeddings, Multimodal (text&image), 2023 year",
-        license="apache-2.0",
+        license="mit",
         size_in_GB=0.48,
         sources=ModelSource(hf="Qdrant/Unicom-ViT-B-32"),
         model_file="model.onnx",

fastembed/late_interaction_multimodal/colpali.py

@@ -22,7 +22,7 @@ supported_colpali_models: list[DenseModelDescription] = [
         model="Qdrant/colpali-v1.3-fp16",
         dim=128,
         description="Text embeddings, Multimodal (text&image), English, 50 tokens query length truncation, 2024.",
-        license="mit",
+        license="gemma",
         size_in_GB=6.5,
         sources=ModelSource(hf="Qdrant/colpali-v1.3-fp16"),
         additional_files=["model.onnx_data"],

fastembed/late_interaction_multimodal/late_interaction_multimodal_embedding.py

@@ -33,7 +33,7 @@ class LateInteractionMultimodalEmbedding(LateInteractionMultimodalEmbeddingBase)
                          "model": "Qdrant/colpali-v1.3-fp16",
                          "dim": 128,
                          "description": "Text embeddings, Unimodal (text), Aligned to image latent space, ColBERT-compatible, 512 tokens max, 2024.",
-                         "license": "mit",
+                         "license": "gemma",
                          "size_in_GB": 6.06,
                          "sources": {
                             "hf": "Qdrant/colpali-v1.3-fp16",