diff --git a/lumigator/python/mzai/backend/backend/models_config.yaml b/lumigator/python/mzai/backend/backend/models_config.yaml
index 05422042f..3fa749ef0 100644
--- a/lumigator/python/mzai/backend/backend/models_config.yaml
+++ b/lumigator/python/mzai/backend/backend/models_config.yaml
@@ -1,35 +1,96 @@
 - name: facebook/bart-large-cnn
   uri: hf://facebook/bart-large-cnn
   description: BART is a large-sized model fine-tuned on the CNN Daily Mail dataset.
+  info:
+    parameters_count: 406M
+    tensor_type: F32
+    model_size: 1.63GB
+  default_parameters:
+    max_length: 142
+    min_length: 56
+    length_penalty: 2.0
+    early_stopping: true
+    no_repeat_ngram_size: 3
+    num_beams: 4
 
 - name: mikeadimech/longformer-qmsum-meeting-summarization
   uri: hf://mikeadimech/longformer-qmsum-meeting-summarization
   description: Longformer is a transformer model that is capable of processing long sequences.
+  info:
+    parameters_count: 162M
+    tensor_type: F32
+    model_size: 648MB
 
 - name: mrm8488/t5-base-finetuned-summarize-news
   uri: hf://mrm8488/t5-base-finetuned-summarize-news
   description: Google's T5 base fine-tuned on News Summary dataset for summarization downstream task.
+  info:
+    parameters_count: 223M
+    tensor_type: F32
+    model_size: 892MB
+  default_parameters:
+    max_length: 200
+    min_length: 30
+    length_penalty: 2.0
+    early_stopping: true
+    no_repeat_ngram_size: 3
+    num_beams: 4
 
 - name: Falconsai/text_summarization
   uri: hf://Falconsai/text_summarization
   description: A fine-tuned variant of the T5 transformer model, designed for the task of text summarization.
+  info:
+    parameters_count: 60.5M
+    tensor_type: F32
+    model_size: 242MB
+  default_parameters:
+    max_length: 200
+    min_length: 30
+    length_penalty: 2.0
+    early_stopping: true
+    no_repeat_ngram_size: 3
+    num_beams: 4
 
 - name: mistralai/Mistral-7B-Instruct-v0.3
   uri: hf://mistralai/Mistral-7B-Instruct-v0.3
   description: Mistral-7B-Instruct-v0.3 is an instruct fine-tuned version of the Mistral-7B-v0.3.
+  info:
+    parameters_count: 7.25B
+    tensor_type: BF16
+    model_size: 14.5GB
 
 - name: gpt-4o-mini
   uri: oai://gpt-4o-mini
   description: OpenAI's GPT-4o-mini model.
+  default_parameters:
+    temperature: 1.0
+    top_p: 1.0
+    max_completion_tokens: 200
 
 - name: gpt-4-turbo
   uri: oai://gpt-4-turbo
   description: OpenAI's GPT-4 Turbo model.
+  default_parameters:
+    temperature: 1.0
+    top_p: 1.0
+    max_completion_tokens: 200
 
 - name: open-mistral-7b
   uri: mistral://open-mistral-7b
   description: Mistral's 7B model.
+  default_parameters:
+    temperature: 0.7
+    top_p: 1.0
+    max_completion_tokens: 200
 
 - name: mistralai/Mistral-7B-Instruct-v0.2
   uri: llamafile://mistralai/Mistral-7B-Instruct-v0.2
   description: A llamafile package of Mistral's 7B Instruct model.
+  info:
+    parameters_count: 7.24B
+    tensor_type: BF16
+    model_size: 14.5GB
+  default_parameters:
+    temperature: 0.7
+    top_p: 1.0
+    max_completion_tokens: 200