Reorder models in HuggingChat (#1060)

.env.template

@@ -109,6 +109,36 @@ MODELS=`[
     ]
   },
   {
+      "name" : "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+      "description" : "Nous Hermes 2 Mixtral 8x7B DPO is the new flagship Nous Research model trained over the Mixtral 8x7B MoE LLM.",
+      "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/nous-logo.png",
+      "websiteUrl" : "https://nousresearch.com/",
+      "modelUrl": "https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+      "tokenizer": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+      "chatPromptTemplate" : "{{#if @root.preprompt}}<|im_start|>system\n{{@root.preprompt}}<|im_end|>\n{{/if}}{{#each messages}}{{#ifUser}}<|im_start|>user\n{{content}}<|im_end|>\n<|im_start|>assistant\n{{/ifUser}}{{#ifAssistant}}{{content}}<|im_end|>\n{{/ifAssistant}}{{/each}}",
+      "promptExamples": [
+        {
+          "title": "Write an email from bullet list",
+          "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
+        }, {
+          "title": "Code a snake game",
+          "prompt": "Code a basic snake game in python, give explanations for each step."
+        }, {
+          "title": "Assist in a task",
+          "prompt": "How do I make a delicious lemon cheesecake?"
+        }
+      ],
+      "parameters": {
+        "temperature": 0.7,
+        "top_p": 0.95,
+        "repetition_penalty": 1,
+        "top_k": 50,
+        "truncate": 24576,
+        "max_new_tokens": 2048,
+        "stop": ["<|im_end|>"]
+      }
+    },
+      {
     "name" : "google/gemma-1.1-7b-it",
     "description": "Gemma 7B 1.1 is the latest release in the Gemma family of lightweight models built by Google, trained using a novel RLHF method.",
     "websiteUrl" : "https://blog.google/technology/developers/gemma-open-models/",
@@ -135,14 +165,26 @@ MODELS=`[
         "stop" : ["<end_of_turn>"]
       }
   },
-  {
-      "name" : "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
-      "description" : "Nous Hermes 2 Mixtral 8x7B DPO is the new flagship Nous Research model trained over the Mixtral 8x7B MoE LLM.",
-      "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/nous-logo.png",
-      "websiteUrl" : "https://nousresearch.com/",
-      "modelUrl": "https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
-      "tokenizer": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
-      "chatPromptTemplate" : "{{#if @root.preprompt}}<|im_start|>system\n{{@root.preprompt}}<|im_end|>\n{{/if}}{{#each messages}}{{#ifUser}}<|im_start|>user\n{{content}}<|im_end|>\n<|im_start|>assistant\n{{/ifUser}}{{#ifAssistant}}{{content}}<|im_end|>\n{{/ifAssistant}}{{/each}}",
+
+        {
+      "name": "mistralai/Mistral-7B-Instruct-v0.2",
+      "displayName": "mistralai/Mistral-7B-Instruct-v0.2",
+      "description": "Mistral 7B is a new Apache 2.0 model, released by Mistral AI that outperforms Llama2 13B in benchmarks.",
+      "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/mistral-logo.png",
+      "websiteUrl": "https://mistral.ai/news/announcing-mistral-7b/",
+      "modelUrl": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2",
+      "tokenizer": "mistralai/Mistral-7B-Instruct-v0.2",
+      "preprompt": "",
+      "chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s>{{/ifAssistant}}{{/each}}",
+      "parameters": {
+        "temperature": 0.3,
+        "top_p": 0.95,
+        "repetition_penalty": 1.2,
+        "top_k": 50,
+        "truncate": 3072,
+        "max_new_tokens": 1024,
+        "stop": ["</s>"]
+      },
       "promptExamples": [
         {
           "title": "Write an email from bullet list",
@@ -154,25 +196,7 @@ MODELS=`[
           "title": "Assist in a task",
           "prompt": "How do I make a delicious lemon cheesecake?"
         }
-      ],
-      "parameters": {
-        "temperature": 0.7,
-        "top_p": 0.95,
-        "repetition_penalty": 1,
-        "top_k": 50,
-        "truncate": 24576,
-        "max_new_tokens": 2048,
-        "stop": ["<|im_end|>"]
-      }
-    },
-    {
-      "name": "meta-llama/Meta-Llama-3-8B-Instruct",
-      "tokenizer" : "philschmid/meta-llama-3-tokenizer",
-      "parameters": {
-        "temperature": 0.1,
-        "stop": ["<|eot_id|>"],
-      },
-      "unlisted": true
+      ]
     },
     {
       "name": "microsoft/Phi-3-mini-4k-instruct",
@@ -199,37 +223,14 @@ MODELS=`[
         }
       ]
     },
-        {
-      "name": "mistralai/Mistral-7B-Instruct-v0.2",
-      "displayName": "mistralai/Mistral-7B-Instruct-v0.2",
-      "description": "Mistral 7B is a new Apache 2.0 model, released by Mistral AI that outperforms Llama2 13B in benchmarks.",
-      "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/mistral-logo.png",
-      "websiteUrl": "https://mistral.ai/news/announcing-mistral-7b/",
-      "modelUrl": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2",
-      "tokenizer": "mistralai/Mistral-7B-Instruct-v0.2",
-      "preprompt": "",
-      "chatPromptTemplate" : "<s>{{#each messages}}{{#ifUser}}[INST] {{#if @first}}{{#if @root.preprompt}}{{@root.preprompt}}\n{{/if}}{{/if}}{{content}} [/INST]{{/ifUser}}{{#ifAssistant}}{{content}}</s>{{/ifAssistant}}{{/each}}",
+    {
+      "name": "meta-llama/Meta-Llama-3-8B-Instruct",
+      "tokenizer" : "philschmid/meta-llama-3-tokenizer",
       "parameters": {
-        "temperature": 0.3,
-        "top_p": 0.95,
-        "repetition_penalty": 1.2,
-        "top_k": 50,
-        "truncate": 3072,
-        "max_new_tokens": 1024,
-        "stop": ["</s>"]
+        "temperature": 0.1,
+        "stop": ["<|eot_id|>"],
       },
-      "promptExamples": [
-        {
-          "title": "Write an email from bullet list",
-          "prompt": "As a restaurant owner, write a professional email to the supplier to get these products every week: \n\n- Wine (x10)\n- Eggs (x24)\n- Bread (x12)"
-        }, {
-          "title": "Code a snake game",
-          "prompt": "Code a basic snake game in python, give explanations for each step."
-        }, {
-          "title": "Assist in a task",
-          "prompt": "How do I make a delicious lemon cheesecake?"
-        }
-      ]
+      "unlisted": true
     }
 ]`