vm: split mono MainViewModel into separate individual ViewModels

examples/llama.android/app/src/main/java/com/example/llama/revamp/MainActivity.kt

@@ -170,7 +170,6 @@ fun AppContent(
             composable(AppDestinations.MODEL_SELECTION_ROUTE) {
                 ModelSelectionScreen(
                     onModelSelected = { modelInfo ->
-                        mainVewModel.selectModel(modelInfo)
                         navigationActions.navigateToModelLoading()
                     },
                     onManageModelsClicked = {
@@ -184,34 +183,28 @@ fun AppContent(
             composable(AppDestinations.MODEL_LOADING_ROUTE) {
                 ModelLoadingScreen(
                     engineState = engineState,
-                    onBenchmarkSelected = {
+                    onBenchmarkSelected = { prepareJob ->
-                        // Store a reference to the loading job
+                        // Wait for preparation to complete, then navigate if still active
                         val loadingJob = coroutineScope.launch {
-                            mainVewModel.prepareForBenchmark()
+                            prepareJob.join()
-                            // Check if the job wasn't cancelled before navigating
+                            if (isActive) { navigationActions.navigateToBenchmark() }
-                            if (isActive) {
-                                navigationActions.navigateToBenchmark()
-                            }
                         }
 
-
-                        // Update the pendingNavigation handler to cancel any ongoing loading
                         pendingNavigation = {
+                            prepareJob.cancel()
                             loadingJob.cancel()
                             navigationActions.navigateUp()
                         }
                     },
-                    onConversationSelected = { systemPrompt ->
+                    onConversationSelected = { systemPrompt, prepareJob ->
-                        // Store a reference to the loading job
+                        // Wait for preparation to complete, then navigate if still active
                         val loadingJob = coroutineScope.launch {
-                            mainVewModel.prepareForConversation(systemPrompt)
+                            prepareJob.join()
-                            // Check if the job wasn't cancelled before navigating
+                            if (isActive) { navigationActions.navigateToConversation() }
-                            if (isActive) {
-                                navigationActions.navigateToConversation()
                         }
-                        }
+
-                        // Update the pendingNavigation handler to cancel any ongoing loading
                         pendingNavigation = {
+                            prepareJob.cancel()
                             loadingJob.cancel()
                             navigationActions.navigateUp()
                         }
@@ -229,8 +222,7 @@ fun AppContent(
                     onBackPressed = {
                         // Need to unload model before going back
                         handleBackWithModelCheck()
-                    },
+                    }
-                    viewModel = mainVewModel
                 )
             }
 
@@ -240,14 +232,7 @@ fun AppContent(
                     onBackPressed = {
                         // Need to unload model before going back
                         handleBackWithModelCheck()
-                    },
+                    }
-                    onRerunPressed = {
-                        mainVewModel.rerunBenchmark()
-                    },
-                    onSharePressed = {
-                        // Stub for sharing functionality
-                    },
-                    viewModel = mainVewModel
                 )
             }
 

examples/llama.android/app/src/main/java/com/example/llama/revamp/ui/screens/BenchmarkScreen.kt

@@ -26,14 +26,13 @@ import androidx.hilt.navigation.compose.hiltViewModel
 import com.example.llama.revamp.engine.InferenceEngine
 import com.example.llama.revamp.ui.components.PerformanceAppScaffold
 import com.example.llama.revamp.ui.theme.MonospacedTextStyle
+import com.example.llama.revamp.viewmodel.BenchmarkViewModel
 import com.example.llama.revamp.viewmodel.MainViewModel
 
 @Composable
 fun BenchmarkScreen(
     onBackPressed: () -> Unit,
-    onRerunPressed: () -> Unit,
+    viewModel: BenchmarkViewModel = hiltViewModel()
-    onSharePressed: () -> Unit,
-    viewModel: MainViewModel = hiltViewModel()
 ) {
     val engineState by viewModel.engineState.collectAsState()
     val benchmarkResults by viewModel.benchmarkResults.collectAsState()

examples/llama.android/app/src/main/java/com/example/llama/revamp/ui/screens/ConversationScreen.kt

@@ -62,7 +62,7 @@ import androidx.lifecycle.LifecycleEventObserver
 import androidx.lifecycle.compose.LocalLifecycleOwner
 import com.example.llama.revamp.engine.InferenceEngine
 import com.example.llama.revamp.ui.components.PerformanceAppScaffold
-import com.example.llama.revamp.viewmodel.MainViewModel
+import com.example.llama.revamp.viewmodel.ConversationViewModel
 import com.example.llama.revamp.viewmodel.Message
 import kotlinx.coroutines.launch
 
@@ -72,7 +72,7 @@ import kotlinx.coroutines.launch
 @Composable
 fun ConversationScreen(
     onBackPressed: () -> Unit,
-    viewModel: MainViewModel = hiltViewModel()
+    viewModel: ConversationViewModel = hiltViewModel()
 ) {
     val engineState by viewModel.engineState.collectAsState()
     val messages by viewModel.messages.collectAsState()

examples/llama.android/app/src/main/java/com/example/llama/revamp/ui/screens/ModelLoadingScreen.kt

@@ -40,6 +40,7 @@ import androidx.compose.runtime.collectAsState
 import androidx.compose.runtime.getValue
 import androidx.compose.runtime.mutableStateOf
 import androidx.compose.runtime.remember
+import androidx.compose.runtime.rememberCoroutineScope
 import androidx.compose.runtime.setValue
 import androidx.compose.ui.Alignment
 import androidx.compose.ui.Modifier
@@ -50,7 +51,10 @@ import androidx.hilt.navigation.compose.hiltViewModel
 import com.example.llama.revamp.data.model.SystemPrompt
 import com.example.llama.revamp.engine.InferenceEngine
 import com.example.llama.revamp.ui.components.PerformanceAppScaffold
+import com.example.llama.revamp.viewmodel.ModelLoadingViewModel
 import com.example.llama.revamp.viewmodel.SystemPromptViewModel
+import kotlinx.coroutines.Job
+import kotlinx.coroutines.launch
 
 enum class SystemPromptTab {
     PRESETS, CUSTOM, RECENTS
@@ -59,14 +63,17 @@ enum class SystemPromptTab {
 @OptIn(ExperimentalMaterial3Api::class, ExperimentalFoundationApi::class)
 @Composable
 fun ModelLoadingScreen(
-    viewModel: SystemPromptViewModel = hiltViewModel(),
     engineState: InferenceEngine.State,
-    onBenchmarkSelected: () -> Unit,
+    onBenchmarkSelected: (prepareJob: Job) -> Unit,
-    onConversationSelected: (String?) -> Unit,
+    onConversationSelected: (systemPrompt: String?, prepareJob: Job) -> Unit,
     onBackPressed: () -> Unit,
+    modelLoadingViewModel: ModelLoadingViewModel = hiltViewModel(),
+    systemPromptViewModel: SystemPromptViewModel = hiltViewModel(),
 ) {
-    val presetPrompts by viewModel.presetPrompts.collectAsState()
+    val coroutineScope = rememberCoroutineScope()
-    val recentPrompts by viewModel.recentPrompts.collectAsState()
+
+    val presetPrompts by systemPromptViewModel.presetPrompts.collectAsState()
+    val recentPrompts by systemPromptViewModel.recentPrompts.collectAsState()
 
     var selectedMode by remember { mutableStateOf<Mode?>(null) }
     var useSystemPrompt by remember { mutableStateOf(false) }
@@ -96,6 +103,21 @@ fun ModelLoadingScreen(
         engineState !is InferenceEngine.State.LibraryLoaded &&
         engineState !is InferenceEngine.State.AwaitingUserPrompt
 
+    // Mode selection callbacks
+    val handleBenchmarkSelected = {
+        val prepareJob = coroutineScope.launch {
+            modelLoadingViewModel.prepareForBenchmark()
+        }
+        onBenchmarkSelected(prepareJob)
+    }
+
+    val handleConversationSelected = { systemPrompt: String? ->
+        val prepareJob = coroutineScope.launch {
+            modelLoadingViewModel.prepareForConversation(systemPrompt)
+        }
+        onConversationSelected(systemPrompt, prepareJob)
+    }
+
     PerformanceAppScaffold(
         title = "Load Model",
         onNavigateBack = onBackPressed,
@@ -143,7 +165,7 @@ fun ModelLoadingScreen(
                 modifier = Modifier
                     .fillMaxWidth()
                     .padding(bottom = 4.dp)
-                    // Only use weight if system prompt is active, otherwise wrap content
+                    // Only fill height if system prompt is active
                     .then(if (useSystemPrompt) Modifier.weight(1f) else Modifier)
             ) {
                 Column(
@@ -355,14 +377,15 @@ fun ModelLoadingScreen(
             Button(
                 onClick = {
                     when (selectedMode) {
-                        Mode.BENCHMARK -> onBenchmarkSelected()
+                        Mode.BENCHMARK -> handleBenchmarkSelected()
+
                         Mode.CONVERSATION -> {
                             val systemPrompt = if (useSystemPrompt) {
                                 when (selectedTab) {
                                     SystemPromptTab.PRESETS, SystemPromptTab.RECENTS ->
                                         selectedPrompt?.let { prompt ->
                                             // Save the prompt to recent prompts database
-                                            viewModel.savePromptToRecents(prompt)
+                                            systemPromptViewModel.savePromptToRecents(prompt)
                                             prompt.content
                                         }
 
@@ -370,15 +393,15 @@ fun ModelLoadingScreen(
                                         customPromptText.takeIf { it.isNotBlank() }
                                             ?.also { promptText ->
                                                 // Save custom prompt to database
-                                                viewModel.saveCustomPromptToRecents(promptText)
+                                                systemPromptViewModel.saveCustomPromptToRecents(promptText)
                                             }
                                 }
                             } else null
-                            onConversationSelected(systemPrompt)
+
+                            handleConversationSelected(systemPrompt)
                         }
 
-                        null -> { /* No mode selected */
+                        null -> { /* No mode selected */ }
-                        }
                     }
                 },
                 modifier = Modifier

examples/llama.android/app/src/main/java/com/example/llama/revamp/ui/screens/ModelSelectionScreen.kt

@@ -30,7 +30,7 @@ import com.example.llama.revamp.data.model.ModelInfo
 import com.example.llama.revamp.ui.components.ModelCard
 import com.example.llama.revamp.ui.components.ModelCardActions
 import com.example.llama.revamp.ui.components.PerformanceAppScaffold
-import com.example.llama.revamp.viewmodel.MainViewModel
+import com.example.llama.revamp.viewmodel.ModelSelectionViewModel
 
 @OptIn(ExperimentalMaterial3Api::class)
 @Composable
@@ -38,10 +38,15 @@ fun ModelSelectionScreen(
     onModelSelected: (ModelInfo) -> Unit,
     onManageModelsClicked: () -> Unit,
     onMenuClicked: () -> Unit,
-    viewModel: MainViewModel = hiltViewModel(),
+    viewModel: ModelSelectionViewModel = hiltViewModel(),
 ) {
     val models by viewModel.availableModels.collectAsState()
 
+    val handleModelSelection = { model: ModelInfo ->
+        viewModel.selectModel(model)
+        onModelSelected(model)
+    }
+
     PerformanceAppScaffold(
         title = "Models",
         onMenuOpen = onMenuClicked,
@@ -60,11 +65,13 @@ fun ModelSelectionScreen(
                     items(models) { model ->
                         ModelCard(
                             model = model,
-                            onClick = { onModelSelected(model) },
+                            onClick = { handleModelSelection(model) },
                             modifier = Modifier.padding(vertical = 4.dp),
                             isSelected = null, // Not in selection mode
                             actionButton = {
-                                ModelCardActions.PlayButton(onClick = { onModelSelected(model) })
+                                ModelCardActions.PlayButton {
+                                    handleModelSelection(model)
+                                }
                             }
                         )
                         Spacer(modifier = Modifier.height(8.dp))

examples/llama.android/app/src/main/java/com/example/llama/revamp/viewmodel/BenchmarkViewModel.kt

@@ -0,0 +1,29 @@
+package com.example.llama.revamp.viewmodel
+
+import androidx.lifecycle.ViewModel
+import androidx.lifecycle.viewModelScope
+import com.example.llama.revamp.data.model.ModelInfo
+import com.example.llama.revamp.engine.InferenceEngine
+import com.example.llama.revamp.engine.InferenceManager
+import dagger.hilt.android.lifecycle.HiltViewModel
+import kotlinx.coroutines.flow.StateFlow
+import kotlinx.coroutines.launch
+import javax.inject.Inject
+
+@HiltViewModel
+class BenchmarkViewModel @Inject constructor(
+    private val inferenceManager: InferenceManager
+) : ViewModel() {
+
+    val engineState: StateFlow<InferenceEngine.State> = inferenceManager.engineState
+    val benchmarkResults: StateFlow<String?> = inferenceManager.benchmarkResults
+    val selectedModel: StateFlow<ModelInfo?> = inferenceManager.currentModel
+
+    /**
+     * Run benchmark with specified parameters
+     */
+    fun runBenchmark(pp: Int = 512, tg: Int = 128, pl: Int = 1, nr: Int = 3) =
+        viewModelScope.launch {
+            inferenceManager.benchmark(pp, tg, pl, nr)
+        }
+}

examples/llama.android/app/src/main/java/com/example/llama/revamp/viewmodel/ConversationViewModel.kt

@@ -0,0 +1,166 @@
+package com.example.llama.revamp.viewmodel
+
+import androidx.lifecycle.ViewModel
+import androidx.lifecycle.viewModelScope
+import com.example.llama.revamp.engine.InferenceManager
+import com.example.llama.revamp.engine.TokenMetrics
+import dagger.hilt.android.lifecycle.HiltViewModel
+import kotlinx.coroutines.Job
+import kotlinx.coroutines.flow.MutableStateFlow
+import kotlinx.coroutines.flow.StateFlow
+import kotlinx.coroutines.flow.asStateFlow
+import kotlinx.coroutines.launch
+import java.text.SimpleDateFormat
+import java.util.Date
+import java.util.Locale
+import javax.inject.Inject
+import kotlin.getValue
+
+
+@HiltViewModel
+class ConversationViewModel @Inject constructor(
+    private val inferenceManager: InferenceManager
+) : ViewModel() {
+
+    val engineState = inferenceManager.engineState
+    val selectedModel = inferenceManager.currentModel
+    val systemPrompt = inferenceManager.systemPrompt
+
+    // Messages in conversation
+    private val _messages = MutableStateFlow<List<Message>>(emptyList())
+    val messages: StateFlow<List<Message>> = _messages.asStateFlow()
+
+    // Token generation job
+    private var tokenCollectionJob: Job? = null
+
+    /**
+     * Send a message with the provided content.
+     * Note: This matches the existing UI which manages input state outside the ViewModel.
+     */
+    fun sendMessage(content: String) {
+        if (content.isBlank()) return
+
+        // Cancel ongoing collection
+        tokenCollectionJob?.cancel()
+
+        // Add user message
+        val userMessage = Message.User(
+            content = content,
+            timestamp = System.currentTimeMillis()
+        )
+        _messages.value = _messages.value + userMessage
+
+        // Add placeholder for assistant response
+        val assistantMessage = Message.Assistant.Ongoing(
+            content = "",
+            timestamp = System.currentTimeMillis()
+        )
+        _messages.value = _messages.value + assistantMessage
+
+        // Collect response
+        tokenCollectionJob = viewModelScope.launch {
+            try {
+                inferenceManager.generateResponse(content)
+                    .collect { (text, isComplete) ->
+                        updateAssistantMessage(text, isComplete)
+                    }
+            } catch (e: Exception) {
+                // Handle error
+                handleResponseError(e)
+            }
+        }
+    }
+
+    /**
+     * Handle updating the assistant message
+     */
+    private fun updateAssistantMessage(text: String, isComplete: Boolean) {
+        val currentMessages = _messages.value.toMutableList()
+        val lastIndex = currentMessages.size - 1
+        val currentAssistantMessage = currentMessages.getOrNull(lastIndex) as? Message.Assistant.Ongoing
+
+        if (currentAssistantMessage != null) {
+            if (isComplete) {
+                // Final message with metrics
+                currentMessages[lastIndex] = Message.Assistant.Completed(
+                    content = text,
+                    timestamp = currentAssistantMessage.timestamp,
+                    metrics = inferenceManager.createTokenMetrics()
+                )
+            } else {
+                // Ongoing message update
+                currentMessages[lastIndex] = Message.Assistant.Ongoing(
+                    content = text,
+                    timestamp = currentAssistantMessage.timestamp
+                )
+            }
+            _messages.value = currentMessages
+        }
+    }
+
+    /**
+     * Handle response error
+     */
+    private fun handleResponseError(e: Exception) {
+        val currentMessages = _messages.value.toMutableList()
+        val lastIndex = currentMessages.size - 1
+        val currentAssistantMessage = currentMessages.getOrNull(lastIndex) as? Message.Assistant.Ongoing
+
+        if (currentAssistantMessage != null) {
+            currentMessages[lastIndex] = Message.Assistant.Completed(
+                content = "${currentAssistantMessage.content}[Error: ${e.message}]",
+                timestamp = currentAssistantMessage.timestamp,
+                metrics = inferenceManager.createTokenMetrics()
+            )
+            _messages.value = currentMessages
+        }
+    }
+
+    /**
+     * Clear conversation
+     */
+    fun clearConversation() {
+        tokenCollectionJob?.cancel()
+        _messages.value = emptyList()
+    }
+
+    override fun onCleared() {
+        tokenCollectionJob?.cancel()
+        super.onCleared()
+    }
+}
+
+
+/**
+ * Sealed class representing messages in a conversation.
+ */
+sealed class Message {
+    abstract val timestamp: Long
+    abstract val content: String
+
+    val formattedTime: String
+        get() = datetimeFormatter.format(Date(timestamp))
+
+    data class User(
+        override val timestamp: Long,
+        override val content: String
+    ) : Message()
+
+    sealed class Assistant : Message() {
+        data class Ongoing(
+            override val timestamp: Long,
+            override val content: String,
+        ) : Assistant()
+
+        data class Completed(
+            override val timestamp: Long,
+            override val content: String,
+            val metrics: TokenMetrics
+        ) : Assistant()
+    }
+
+    companion object {
+        private val datetimeFormatter by lazy { SimpleDateFormat("h:mm a", Locale.getDefault()) }
+    }
+}
+

examples/llama.android/app/src/main/java/com/example/llama/revamp/viewmodel/MainViewModel.kt

@@ -1,276 +1,25 @@
 package com.example.llama.revamp.viewmodel
 
 import androidx.lifecycle.ViewModel
-import androidx.lifecycle.viewModelScope
-import com.example.llama.revamp.data.model.ModelInfo
-import com.example.llama.revamp.data.repository.ModelRepository
 import com.example.llama.revamp.engine.InferenceEngine
+import com.example.llama.revamp.engine.InferenceManager
 import dagger.hilt.android.lifecycle.HiltViewModel
-import kotlinx.coroutines.Job
-import kotlinx.coroutines.flow.MutableStateFlow
-import kotlinx.coroutines.flow.SharingStarted
-import kotlinx.coroutines.flow.StateFlow
-import kotlinx.coroutines.flow.asStateFlow
-import kotlinx.coroutines.flow.catch
-import kotlinx.coroutines.flow.onCompletion
-import kotlinx.coroutines.flow.stateIn
-import kotlinx.coroutines.launch
-import java.text.SimpleDateFormat
-import java.util.Date
-import java.util.Locale
 import javax.inject.Inject
 
-/**
- * Main ViewModel that handles the LLM engine state and operations.
- */
 @HiltViewModel
+/**
+ * Main ViewModel that expose the core states of [InferenceEngine]
+ */
 class MainViewModel @Inject constructor (
-    private val inferenceEngine: InferenceEngine,
+    private val inferenceManager: InferenceManager,
-    private val modelRepository: ModelRepository,
 ) : ViewModel() {
 
-    // Expose the engine state
+    val engineState = inferenceManager.engineState
-    val engineState: StateFlow<InferenceEngine.State> = inferenceEngine.state
-
-    // Benchmark results
-    val benchmarkResults: StateFlow<String?> = inferenceEngine.benchmarkResults
-
-    // Available models for selection
-    val availableModels: StateFlow<List<ModelInfo>> = modelRepository.getModels()
-        .stateIn(
-            scope = viewModelScope,
-            started = SharingStarted.WhileSubscribed(SUBSCRIPTION_TIMEOUT_MS),
-            initialValue = emptyList()
-        )
-
-    // Selected model information
-    private val _selectedModel = MutableStateFlow<ModelInfo?>(null)
-    val selectedModel: StateFlow<ModelInfo?> = _selectedModel.asStateFlow()
-
-    // Messages in the conversation
-    private val _messages = MutableStateFlow<List<Message>>(emptyList())
-    val messages: StateFlow<List<Message>> = _messages.asStateFlow()
-
-    // System prompt for the conversation
-    private val _systemPrompt = MutableStateFlow<String?>(null)
-    val systemPrompt: StateFlow<String?> = _systemPrompt.asStateFlow()
-
-    // Flag to track if token collection is active
-    private var tokenCollectionJob: Job? = null
 
     /**
-     * Selects a model for use.
+     * Unload the current model and release the resources
      */
-    fun selectModel(modelInfo: ModelInfo) {
+    suspend fun unloadModel() = inferenceManager.unloadModel()
-        _selectedModel.value = modelInfo
-
-        viewModelScope.launch {
-            modelRepository.updateModelLastUsed(modelInfo.id)
-        }
-    }
-
-    /**
-     * Prepares the engine for benchmark mode.
-     */
-    suspend fun prepareForBenchmark() {
-        _selectedModel.value?.let { model ->
-            inferenceEngine.loadModel(model.path)
-        }
-    }
-
-    /**
-     * Runs the benchmark with current parameters.
-     */
-    suspend fun runBenchmark() = inferenceEngine.bench(512, 128, 1, 3)
-
-    /**
-     * Reruns the benchmark.
-     */
-    fun rerunBenchmark() = viewModelScope.launch { runBenchmark() }
-
-    /**
-     * Prepares the engine for conversation mode.
-     */
-    suspend fun prepareForConversation(systemPrompt: String? = null) {
-        _systemPrompt.value = systemPrompt
-        _selectedModel.value?.let { model ->
-            inferenceEngine.loadModel(model.path, systemPrompt)
-        }
-    }
-
-    /**
-     * Tracks token generation metrics
-     */
-    private var generationStartTime: Long = 0L
-    private var firstTokenTime: Long = 0L
-    private var tokenCount: Int = 0
-    private var isFirstToken: Boolean = true
-
-    /**
-     * Sends a user message and collects the response.
-     */
-    fun sendMessage(content: String) {
-        if (content.isBlank()) return
-
-        // Cancel any ongoing token collection
-        tokenCollectionJob?.cancel()
-
-        // Add user message
-        val userMessage = Message.User(
-            content = content,
-            timestamp = System.currentTimeMillis()
-        )
-        _messages.value = _messages.value + userMessage
-
-        // Create placeholder for assistant message
-        val assistantMessage = Message.Assistant.Ongoing(
-            content = "",
-            timestamp = System.currentTimeMillis()
-        )
-        _messages.value = _messages.value + assistantMessage
-
-        // Reset metrics tracking
-        generationStartTime = System.currentTimeMillis()
-        firstTokenTime = 0L
-        tokenCount = 0
-        isFirstToken = true
-
-        // Get response from engine
-        tokenCollectionJob = viewModelScope.launch {
-            val response = StringBuilder()
-
-            try {
-                inferenceEngine.sendUserPrompt(content)
-                    .catch { e ->
-                        // Handle errors during token collection
-                        val currentMessages = _messages.value.toMutableList()
-                        if (currentMessages.size >= 2) {
-                            val messageIndex = currentMessages.size - 1
-                            val currentAssistantMessage = currentMessages[messageIndex] as? Message.Assistant.Ongoing
-                            if (currentAssistantMessage != null) {
-                                // Create metrics with error indication
-                                val errorMetrics = TokenMetrics(
-                                    tokensCount = tokenCount,
-                                    ttftMs = if (firstTokenTime > 0) firstTokenTime - generationStartTime else 0L,
-                                    tpsMs = calculateTPS(tokenCount, System.currentTimeMillis() - generationStartTime)
-                                )
-
-                                currentMessages[messageIndex] = Message.Assistant.Completed(
-                                    content = "${response}[Error: ${e.message}]",
-                                    timestamp = currentAssistantMessage.timestamp,
-                                    metrics = errorMetrics
-                                )
-                                _messages.value = currentMessages
-                            }
-                        }
-                    }
-                    .onCompletion { cause ->
-                        // Handle completion (normal or cancelled)
-                        val currentMessages = _messages.value.toMutableList()
-                        if (currentMessages.isNotEmpty()) {
-                            val messageIndex = currentMessages.size - 1
-                            val currentAssistantMessage = currentMessages.getOrNull(messageIndex) as? Message.Assistant.Ongoing
-                            if (currentAssistantMessage != null) {
-                                // Calculate final metrics
-                                val endTime = System.currentTimeMillis()
-                                val totalTimeMs = endTime - generationStartTime
-
-                                val metrics = TokenMetrics(
-                                    tokensCount = tokenCount,
-                                    ttftMs = if (firstTokenTime > 0) firstTokenTime - generationStartTime else 0L,
-                                    tpsMs = calculateTPS(tokenCount, totalTimeMs)
-                                )
-
-                                currentMessages[messageIndex] = Message.Assistant.Completed(
-                                    content = response.toString(),
-                                    timestamp = currentAssistantMessage.timestamp,
-                                    metrics = metrics
-                                )
-                                _messages.value = currentMessages
-                            }
-                        }
-                    }
-                    .collect { token ->
-                        // Track first token time
-                        if (isFirstToken && token.isNotBlank()) {
-                            firstTokenTime = System.currentTimeMillis()
-                            isFirstToken = false
-                        }
-
-                        // Count tokens - each non-empty emission is at least one token
-                        if (token.isNotBlank()) {
-                            tokenCount++
-                        }
-
-                        response.append(token)
-
-                        // Safely update the assistant message with the generated text
-                        val currentMessages = _messages.value.toMutableList()
-                        if (currentMessages.isNotEmpty()) {
-                            val messageIndex = currentMessages.size - 1
-                            val currentAssistantMessage = currentMessages.getOrNull(messageIndex) as? Message.Assistant.Ongoing
-                            if (currentAssistantMessage != null) {
-                                currentMessages[messageIndex] = Message.Assistant.Ongoing(
-                                    content = response.toString(),
-                                    timestamp = currentAssistantMessage.timestamp
-                                )
-                                _messages.value = currentMessages
-                            }
-                        }
-                    }
-            } catch (e: Exception) {
-                // Handle any unexpected exceptions
-                val currentMessages = _messages.value.toMutableList()
-                if (currentMessages.isNotEmpty()) {
-                    val messageIndex = currentMessages.size - 1
-                    val currentAssistantMessage = currentMessages.getOrNull(messageIndex) as? Message.Assistant.Ongoing
-                    if (currentAssistantMessage != null) {
-                        // Create metrics with error indication
-                        val errorMetrics = TokenMetrics(
-                            tokensCount = tokenCount,
-                            ttftMs = if (firstTokenTime > 0) firstTokenTime - generationStartTime else 0L,
-                            tpsMs = calculateTPS(tokenCount, System.currentTimeMillis() - generationStartTime)
-                        )
-
-                        currentMessages[messageIndex] = Message.Assistant.Completed(
-                            content = "${response}[Error: ${e.message}]",
-                            timestamp = currentAssistantMessage.timestamp,
-                            metrics = errorMetrics
-                        )
-                        _messages.value = currentMessages
-                    }
-                }
-            }
-        }
-    }
-
-    /**
-     * Calculate tokens per second.
-     */
-    private fun calculateTPS(tokens: Int, timeMs: Long): Float {
-        if (tokens <= 0 || timeMs <= 0) return 0f
-        return (tokens.toFloat() * 1000f) / timeMs
-    }
-
-    /**
-     * Unloads the currently loaded model after cleanup chores:
-     * - Cancel any ongoing token collection
-     * - Clear messages
-     */
-    suspend fun unloadModel() {
-        tokenCollectionJob?.cancel()
-        _messages.value = emptyList()
-
-        inferenceEngine.unloadModel()
-    }
-
-    /**
-     * Clean up resources when ViewModel is cleared.
-     */
-    override fun onCleared() {
-        inferenceEngine.destroy()
-        super.onCleared()
-    }
 
     companion object {
         private val TAG = MainViewModel::class.java.simpleName
@@ -279,44 +28,3 @@ class MainViewModel @Inject constructor (
     }
 }
 
-/**
- * Sealed class representing messages in a conversation.
- */
-sealed class Message {
-    abstract val timestamp: Long
-    abstract val content: String
-
-    val formattedTime: String
-        get() = datetimeFormatter.format(Date(timestamp))
-
-    data class User(
-        override val timestamp: Long,
-        override val content: String
-    ) : Message()
-
-    sealed class Assistant : Message() {
-        data class Ongoing(
-            override val timestamp: Long,
-            override val content: String,
-        ) : Assistant()
-
-        data class Completed(
-            override val timestamp: Long,
-            override val content: String,
-            val metrics: TokenMetrics
-        ) : Assistant()
-    }
-
-    companion object {
-        private val datetimeFormatter by lazy { SimpleDateFormat("h:mm a", Locale.getDefault()) }
-    }
-}
-
-data class TokenMetrics(
-    val tokensCount: Int,
-    val ttftMs: Long,
-    val tpsMs: Float,
-) {
-    val text: String
-        get() = "Tokens: $tokensCount, TTFT: ${ttftMs}ms, TPS: ${"%.1f".format(tpsMs)}"
-}

examples/llama.android/app/src/main/java/com/example/llama/revamp/viewmodel/ModelLoadingViewModel.kt

@@ -0,0 +1,27 @@
+package com.example.llama.revamp.viewmodel
+
+import androidx.lifecycle.ViewModel
+import com.example.llama.revamp.engine.InferenceManager
+import dagger.hilt.android.lifecycle.HiltViewModel
+import javax.inject.Inject
+
+@HiltViewModel
+class ModelLoadingViewModel @Inject constructor(
+    private val inferenceManager: InferenceManager
+) : ViewModel() {
+
+    val engineState = inferenceManager.engineState
+    val selectedModel = inferenceManager.currentModel
+
+    /**
+     * Prepares the engine for benchmark mode.
+     */
+    suspend fun prepareForBenchmark() =
+        inferenceManager.loadModelForBenchmark()
+
+    /**
+     * Prepare for conversation
+     */
+    suspend fun prepareForConversation(systemPrompt: String? = null) =
+        inferenceManager.loadModelForConversation(systemPrompt)
+}

examples/llama.android/app/src/main/java/com/example/llama/revamp/viewmodel/ModelSelectionViewModel.kt

@@ -0,0 +1,58 @@
+package com.example.llama.revamp.viewmodel
+
+import androidx.lifecycle.ViewModel
+import androidx.lifecycle.viewModelScope
+import com.example.llama.revamp.data.model.ModelInfo
+import com.example.llama.revamp.data.repository.ModelRepository
+import com.example.llama.revamp.engine.InferenceManager
+import dagger.hilt.android.lifecycle.HiltViewModel
+import kotlinx.coroutines.flow.SharingStarted
+import kotlinx.coroutines.flow.StateFlow
+import kotlinx.coroutines.flow.stateIn
+import kotlinx.coroutines.launch
+import javax.inject.Inject
+
+
+@HiltViewModel
+class ModelSelectionViewModel @Inject constructor(
+    private val inferenceManager: InferenceManager,
+    private val modelRepository: ModelRepository
+) : ViewModel() {
+
+    /**
+     * Available models for selection
+     */
+    val availableModels: StateFlow<List<ModelInfo>> = modelRepository.getModels()
+        .stateIn(
+            scope = viewModelScope,
+            started = SharingStarted.WhileSubscribed(SUBSCRIPTION_TIMEOUT_MS),
+            initialValue = emptyList()
+        )
+
+    /**
+     * Access to currently selected model
+     */
+    val selectedModel = inferenceManager.currentModel
+
+    /**
+     * Select a model and update its last used timestamp
+     */
+    fun selectModel(modelInfo: ModelInfo) {
+        inferenceManager.setCurrentModel(modelInfo)
+
+        viewModelScope.launch {
+            modelRepository.updateModelLastUsed(modelInfo.id)
+        }
+    }
+
+    /**
+     * Unload model when navigating away
+     */
+    suspend fun unloadModel() = inferenceManager.unloadModel()
+
+    companion object {
+        private val TAG = ModelSelectionViewModel::class.java.simpleName
+
+        private const val SUBSCRIPTION_TIMEOUT_MS = 5000L
+    }
+}