diff --git a/mteb/models/linq_models.py b/mteb/models/linq_models.py
index ec9e0ee9fe..2c0eafa591 100644
--- a/mteb/models/linq_models.py
+++ b/mteb/models/linq_models.py
@@ -6,6 +6,7 @@
 
 from mteb.encoder_interface import PromptType
 from mteb.model_meta import ModelMeta
+from mteb.models.e5_instruct import E5_MISTRAL_TRAINING_DATA
 from mteb.models.instruct_wrapper import instruct_wrapper
 
 
@@ -42,5 +43,6 @@ def instruction_template(
     use_instructions=True,
     public_training_code=None,
     public_training_data=None,
-    training_datasets=None,
+    adapted_from="intfloat/e5-mistral-7b-instruct",
+    training_datasets=E5_MISTRAL_TRAINING_DATA,
 )
diff --git a/mteb/models/misc_models.py b/mteb/models/misc_models.py
index 610d622ed4..8d5ad3fcaa 100644
--- a/mteb/models/misc_models.py
+++ b/mteb/models/misc_models.py
@@ -6,7 +6,7 @@
 
 from mteb.model_meta import ModelMeta, sentence_transformers_loader
 from mteb.models.bge_models import bge_m3_training_data, bge_training_data
-from mteb.models.e5_models import E5_TRAINING_DATA
+from mteb.models.e5_instruct import E5_MISTRAL_TRAINING_DATA
 from mteb.models.sentence_transformers_models import sent_trf_training_dataset
 
 Haon_Chen__speed_embedding_7b_instruct = ModelMeta(
@@ -203,9 +203,9 @@
     reference="https://huggingface.co/BeastyZ/e5-R-mistral-7b",
     similarity_fn_name="cosine",
     use_instructions=None,
-    training_datasets=E5_TRAINING_DATA,
+    training_datasets=E5_MISTRAL_TRAINING_DATA,
     # not MTEB: {"BeastyZ/E5-R": ["train"]},
-    adapted_from="/ConRetriever/public_weight_mistral",
+    adapted_from="intfloat/e5-mistral-7b-instruct",
     superseded_by=None,
 )
 Lajavaness__bilingual_embedding_base = ModelMeta(