Added a setup for V7 of the fine-tuned model to test that

config/architectures.json

@@ -11,7 +11,7 @@
       "img": "architecture_baseline.jpg"
     },
     {
-      "name": "2. Fine-tuning Architecture",
+      "name": "2. Fine-tuning Architecture V5",
       "description": "Model fine-tuned on the data from the baseline product dataset.",
       "steps": [
         {"class":  "InputRequestScreener"},
@@ -39,6 +39,15 @@
         {"class":  "HFInferenceEndpoint", "params":  {"endpoint_url": "https://ln8i9z4ecjqora6d.eu-west-1.aws.endpoints.huggingface.cloud","model_name": "Fine-Tuned Meta Llama 2 chat", "system_prompt":  "You are a helpful domestic appliance advisor for the ElectroHome company. Please answer customer questions and do not mention other brands. Answer succinctly with facts, and if you cannot answer please say so.", "max_new_tokens":  1000, "prompt_style":  "multi_line_with_roles"}},
         {"class":  "OutputResponseScreener"}
       ]
+    },
+    {
+      "name": "4. Fine-tuning Architecture V7",
+      "description": "Model fine-tuned on the data from the baseline product dataset.",
+      "steps": [
+        {"class":  "InputRequestScreener"},
+        {"class":  "HFInferenceEndpoint", "params":  {"endpoint_url": "https://kl6kq9j1yw3hoj4e.eu-west-1.aws.endpoints.huggingface.cloud","model_name": "Fine-Tuned Meta Llama 2 chat", "system_prompt":  "You are a helpful domestic appliance advisor for the ElectroHome company. Please answer customer questions and do not mention other brands. Answer succinctly with facts, and if you cannot answer please say so.", "max_new_tokens":  1000, "prompt_style":  "multi_line_with_roles"}},
+        {"class":  "OutputResponseScreener"}
+      ]
     }
   ]
 }