Update README.md

README.md

@@ -22,7 +22,9 @@ GGUF is a large language model (LLM) format that can be split between CPU and GP
 
 GGUF models are quantized to reduce resource usage, with a tradeoff of reduced coherence at lower quantizations. Quantization reduces the precision of the model weights by changing the number of bits used for each weight.
 
-### 7B Quantization Chart
+<details>
+  <summary>7B Quantization Chart</summary>
+  
 *Memory required must be less than your available RAM.*
 
 | Quant method | Size | Memory required at 4K Context |
@@ -39,17 +41,22 @@ GGUF models are quantized to reduce resource usage, with a tradeoff of reduced c
 | Q5_K_M | 5.13 GB| 7.63 GB |
 | Q6_K | 5.94 GB| 8.44 GB |
 | Q8_0 | 7.70 GB| 10.20 GB |
+</details>
 
 ***
 
+<img src="faraday-logo.png" alt="Faraday.dev" style="height: 75px; min-width: 32px; display: block; horizontal align: left;">
+
 ## Faraday.dev
 - Free, local AI chat application.
 - One-click installation on Mac and PC.
 - Automatically use GPU for maximum speed.
 - Built-in model manager.
-- High quality character hub.
+- High-quality character hub.
 - Zero-config desktop-to-mobile tethering.
 
-Faraday makes it easy to start chatting with AI using your own characters or one of the many found in the built-in character hub. The model manager helps you find the latest and greatest models. A focus on ease of use doesn't mean Faraday lacks features or removes control. Faraday supports advanced features such as lorebooks, author's note, text formatting, custom context size, sampler settings, grammars, local TTS, cloud inference, and tethering, all implemented in a way that is straightforward and reliable.
+Faraday makes it easy to start chatting with AI using your own characters or one of the many found in the built-in character hub. The model manager helps you find the latest and greatest models without worrying about whether it's the correct format. Faraday supports advanced features such as lorebooks, author's note, text formatting, custom context size, sampler settings, grammars, local TTS, cloud inference, and tethering, all implemented in a way that is straightforward and reliable.
 
 **Join us on [Discord](https://discord.gg/SyNN2vC9tQ)**
+
+***