diff --git a/extensions/inference-nitro-extension/package.json b/extensions/inference-nitro-extension/package.json
index 5da92c150..1916da4b6 100644
--- a/extensions/inference-nitro-extension/package.json
+++ b/extensions/inference-nitro-extension/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@janhq/inference-nitro-extension",
   "productName": "Nitro Inference Engine",
-  "version": "1.0.0",
+  "version": "1.0.1",
   "description": "This extension embeds Nitro, a lightweight (3mb) inference engine written in C++. See https://nitro.jan.ai.\nAdditional dependencies could be installed to run without Cuda Toolkit installation.",
   "main": "dist/index.js",
   "node": "dist/node/index.cjs.js",
diff --git a/extensions/inference-nitro-extension/resources/models/command-r-34b/model.json b/extensions/inference-nitro-extension/resources/models/command-r-34b/model.json
index acb66779c..850429376 100644
--- a/extensions/inference-nitro-extension/resources/models/command-r-34b/model.json
+++ b/extensions/inference-nitro-extension/resources/models/command-r-34b/model.json
@@ -8,7 +8,7 @@
     "id": "command-r-34b",
     "object": "model",
     "name": "Command-R v01 34B Q4",
-    "version": "1.0",
+    "version": "1.1",
     "description": "C4AI Command-R developed by CohereAI is optimized for a variety of use cases including reasoning, summarization, and question answering.",
     "format": "gguf",
     "settings": {
@@ -27,7 +27,7 @@
     },
     "metadata": {
       "author": "CohereAI",
-      "tags": ["34B", "Finetuned"],
+      "tags": ["34B", "Finetuned", "Coming Soon", "Unavailable"],
       "size": 21500000000
     },
     "engine": "nitro"
diff --git a/extensions/inference-nitro-extension/resources/models/wizardcoder-13b/model.json b/extensions/inference-nitro-extension/resources/models/wizardcoder-13b/model.json
index 051c739a0..cae96c26b 100644
--- a/extensions/inference-nitro-extension/resources/models/wizardcoder-13b/model.json
+++ b/extensions/inference-nitro-extension/resources/models/wizardcoder-13b/model.json
@@ -1,20 +1,20 @@
 {
   "sources": [
     {
-      "filename": "wizardcoder-python-13b-v1.0.Q5_K_M.gguf",
-      "url": "https://huggingface.co/TheBloke/WizardCoder-Python-13B-V1.0-GGUF/resolve/main/wizardcoder-python-13b-v1.0.Q5_K_M.gguf"
+      "filename": "wizardcoder-python-13b-v1.0.Q4_K_M.gguf",
+      "url": "https://huggingface.co/TheBloke/WizardCoder-Python-13B-V1.0-GGUF/resolve/main/wizardcoder-python-13b-v1.0.Q4_K_M.gguf"
     }
   ],
   "id": "wizardcoder-13b",
   "object": "model",
-  "name": "Wizard Coder Python 13B Q5",
-  "version": "1.0",
+  "name": "Wizard Coder Python 13B Q4",
+  "version": "1.1",
   "description": "WizardCoder 13B is a Python coding model. This model demonstrate high proficiency in specific domains like coding and mathematics.",
   "format": "gguf",
   "settings": {
     "ctx_len": 4096,
     "prompt_template": "### Instruction:\n{prompt}\n### Response:",
-    "llama_model_path": "wizardcoder-python-13b-v1.0.Q5_K_M.gguf"
+    "llama_model_path": "wizardcoder-python-13b-v1.0.Q4_K_M.gguf"
   },
   "parameters": {
     "temperature": 0.7,
diff --git a/web/containers/DropdownListSidebar/index.tsx b/web/containers/DropdownListSidebar/index.tsx
index bf4d873cc..75c139af3 100644
--- a/web/containers/DropdownListSidebar/index.tsx
+++ b/web/containers/DropdownListSidebar/index.tsx
@@ -276,7 +276,7 @@ const DropdownListSidebar = ({
                               {toGibibytes(x.metadata.size)}
                             </span>
                             {x.metadata.size && (
-                              <ModelLabel size={x.metadata.size} />
+                              <ModelLabel metadata={x.metadata} />
                             )}
                           </div>
                         </div>
diff --git a/web/containers/Layout/TopBar/index.tsx b/web/containers/Layout/TopBar/index.tsx
index 7f108f15a..cbb151751 100644
--- a/web/containers/Layout/TopBar/index.tsx
+++ b/web/containers/Layout/TopBar/index.tsx
@@ -16,6 +16,8 @@ import CommandSearch from '@/containers/Layout/TopBar/CommandSearch'
 
 import { showLeftSideBarAtom } from '@/containers/Providers/KeyListener'
 
+import { toaster } from '@/containers/Toast'
+
 import { MainViewState } from '@/constants/screens'
 
 import { useClickOutside } from '@/hooks/useClickOutside'
@@ -61,7 +63,11 @@ const TopBar = () => {
 
   const onCreateConversationClick = async () => {
     if (assistants.length === 0) {
-      alert('No assistant available')
+      toaster({
+        title: 'No assistant available.',
+        description: `Could not create a new thread. Please add an assistant.`,
+        type: 'error',
+      })
     } else {
       requestCreateNewThread(assistants[0])
     }
diff --git a/web/containers/ModelLabel/index.tsx b/web/containers/ModelLabel/index.tsx
index 54f2838af..5f32499ae 100644
--- a/web/containers/ModelLabel/index.tsx
+++ b/web/containers/ModelLabel/index.tsx
@@ -1,5 +1,7 @@
 import React from 'react'
 
+import { ModelMetadata } from '@janhq/core'
+import { Badge } from '@janhq/uikit'
 import { useAtomValue } from 'jotai'
 
 import { useActiveModel } from '@/hooks/useActiveModel'
@@ -19,10 +21,17 @@ import {
 } from '@/helpers/atoms/SystemBar.atom'
 
 type Props = {
-  size: number
+  metadata: ModelMetadata
+}
+const UnsupportedModel = () => {
+  return (
+    <Badge className="space-x-1 rounded-md" themes="warning">
+      <span>Coming Soon</span>
+    </Badge>
+  )
 }
 
-const ModelLabel: React.FC<Props> = ({ size }) => {
+const ModelLabel: React.FC<Props> = ({ metadata }) => {
   const { activeModel } = useActiveModel()
   const totalRam = useAtomValue(totalRamAtom)
   const usedRam = useAtomValue(usedRamAtom)
@@ -52,7 +61,11 @@ const ModelLabel: React.FC<Props> = ({ size }) => {
     return null
   }
 
-  return getLabel(size)
+  return metadata.tags.includes('Coming Soon') ? (
+    <UnsupportedModel />
+  ) : (
+    getLabel(metadata.size ?? 0)
+  )
 }
 
 export default React.memo(ModelLabel)
diff --git a/web/screens/ExploreModels/ExploreModelItemHeader/index.tsx b/web/screens/ExploreModels/ExploreModelItemHeader/index.tsx
index 86af5e3dd..1a794c83f 100644
--- a/web/screens/ExploreModels/ExploreModelItemHeader/index.tsx
+++ b/web/screens/ExploreModels/ExploreModelItemHeader/index.tsx
@@ -19,6 +19,10 @@ import { twMerge } from 'tailwind-merge'
 
 import ModalCancelDownload from '@/containers/ModalCancelDownload'
 
+import ModelLabel from '@/containers/ModelLabel'
+
+import { toaster } from '@/containers/Toast'
+
 import { MainViewState } from '@/constants/screens'
 
 import { useCreateNewThread } from '@/hooks/useCreateNewThread'
@@ -47,22 +51,6 @@ type Props = {
   open: string
 }
 
-const getLabel = (size: number, ram: number, unit: string = 'RAM') => {
-  if (size * 1.25 >= ram) {
-    return (
-      <Badge className="rounded-md" themes="danger">
-        Not enough {unit}
-      </Badge>
-    )
-  } else {
-    return (
-      <Badge className="rounded-md" themes="success">
-        Recommended
-      </Badge>
-    )
-  }
-}
-
 const ExploreModelItemHeader: React.FC<Props> = ({ model, onClick, open }) => {
   const { downloadModel } = useDownloadModel()
   const downloadingModels = useAtomValue(getDownloadingModelAtom)
@@ -105,7 +93,11 @@ const ExploreModelItemHeader: React.FC<Props> = ({ model, onClick, open }) => {
 
   const onUseModelClick = useCallback(async () => {
     if (assistants.length === 0) {
-      alert('No assistant available')
+      toaster({
+        title: 'No assistant available.',
+        description: `Could not use Model ${model.name} as no assistant is available.`,
+        type: 'error',
+      })
       return
     }
     await requestCreateNewThread(assistants[0], model)
@@ -163,11 +155,7 @@ const ExploreModelItemHeader: React.FC<Props> = ({ model, onClick, open }) => {
           <span className="mr-4 font-semibold text-muted-foreground">
             {toGibibytes(model.metadata.size)}
           </span>
-          {getLabel(
-            model.metadata.size,
-            ram,
-            settings?.run_mode === 'gpu' ? 'VRAM' : 'RAM'
-          )}
+          {<ModelLabel metadata={model.metadata} />}
 
           {downloadButton}
           <ChevronDownIcon