release

src/lib/components/chat/ChatMessage.svelte

@@ -204,7 +204,7 @@
 							<div
 								class="text-xs text-gray-400 dark:text-gray-500 bg-gray-100 dark:bg-gray-800 px-3 py-1 rounded w-fit"
 							>
-								{message.metadata.energy_wh} Wh
+								{message.metadata.energy_wh.toFixed(4)} Wh
 							</div>
 						{/if}
 						{#if message.metadata?.duration_seconds}

src/lib/components/chat/ChatWindow.svelte

@@ -358,7 +358,7 @@
 			{#if totalEnergy > 0}
 				<div class="mb-4 flex items-center justify-center">
 					<div class="text-xs text-gray-400 dark:text-gray-500 bg-gray-100 dark:bg-gray-800 px-3 py-1 rounded">
-						Total Energy: {totalEnergy.toFixed(6)} Wh (about {((totalEnergy / 19) * 100).toFixed(2)}% of charging a phone)
+						Total Energy: {totalEnergy.toFixed(4)} Wh (about {((totalEnergy / 19) * 100).toFixed(2)}% of charging a phone)
 					</div>
 				</div>
 			{/if}

src/lib/server/textGeneration/generate.ts

@@ -133,15 +133,15 @@ Do not use prefixes such as Response: or Answer: when answering to the user.`,
 
 			// LLama 3.1 8B uses 17.38 Wh for 1000 queries according to https://huggingface.co/spaces/AIEnergyScore/Leaderboard
 
-			const energyUsedwh_sim = (50 * (durationInSeconds / 3600)).toFixed(6); // Using P = 50W (H100 can use up to 700W)
+			const energyUsedwh_sim = 50 * (durationInSeconds / 3600); // Using P = 50W (H100 can use up to 700W)
 			console.log("energyUsedwh_sim", energyUsedwh_sim);
-			let energyUsedwh = "0";
+			let energyUsedwh = 0;
 			console.log("output", output);
 			if (output.energy_consumption === undefined) {
-				energyUsedwh = (energyUsedwh_sim / 1000).toFixed(6); // converting from mJ to Wh
+				energyUsedwh = energyUsedwh_sim;
 			} else {
 				// if the model has energy consumption, we use it instead
-				energyUsedwh = (output.energy_consumption / 1000 / 3600).toFixed(6); // converting from mJ to Wh
+				energyUsedwh = output.energy_consumption / 1000 / 3600; // converting from mJ to Wh
 			}
 			console.log("energyUsedwh", energyUsedwh);
 			yield {