Add CohereForAI/c4ai-command-r-plus-4bit as Command-R-Plus-Lite

.env.template

@@ -1,6 +1,35 @@
 # template used in production for HuggingChat.
 
 MODELS=`[
+  {
+    "name" : "CohereForAI/c4ai-command-r-plus-lite",
+    "tokenizer": "Xenova/c4ai-command-r-v01-tokenizer",
+    "description": "Command R+ is Cohere's latest LLM and is the first open weight model to beat GPT4 in the Chatbot Arena! This is 4bit quantized version with 64K context window.",
+    "modelUrl": "https://huggingface.co/CohereForAI/c4ai-command-r-plus-4bit",
+    "websiteUrl": "https://docs.cohere.com/docs/command-r-plus",
+    "logoUrl": "https://huggingface.co/datasets/huggingchat/models-logo/resolve/main/cohere-logo.png",
+    "parameters": {
+      "stop": ["<|END_OF_TURN_TOKEN|>"],
+      "top_P" : 0.1,
+      "repetition_penalty" : 0.8,
+      "top_k" : 20,
+      "truncate" : 65536,
+      "max_new_tokens" : 8192,
+      "temperature" : 0.3
+    },
+    "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?"
+      }
+    ]
+  },
   {
     "name" : "CohereForAI/c4ai-command-r-plus",
     "tokenizer": "Xenova/c4ai-command-r-v01-tokenizer",