From d21a134b2a3165b78b8f98f7d46ffb605461877f Mon Sep 17 00:00:00 2001
From: Andy Lee <andylizf@outlook.com>
Date: Sat, 19 Jul 2025 21:53:41 -0700
Subject: [PATCH] docs: polish

---
 README.md | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index faa6783..1acc470 100755
--- a/README.md
+++ b/README.md
@@ -21,7 +21,7 @@ LEANN achieves this through *graph-based selective recomputation* with *high-deg
 ## Why LEANN?
 
 <p align="center">
-  <img src="assets/effects.png" alt="LEANN vs Traditional Vector DB Storage Comparison" width="100%">
+  <img src="assets/effects.png" alt="LEANN vs Traditional Vector DB Storage Comparison" width="70%">
 </p>
 
 **The numbers speak for themselves:** Index 60 million Wikipedia articles in just 6GB instead of 201GB. From emails to browser history, everything fits on your laptop. [See detailed benchmarks below ↓](#storage-usage-comparison)
@@ -64,10 +64,9 @@ uv sync
 
 *macOS:*
 
-```bash
-# Install Ollama
-brew install ollama
+First, [download Ollama for macOS](https://ollama.com/download/mac).
 
+```bash
 # Pull a lightweight model (recommended for consumer hardware)
 ollama pull llama3.2:1b
 ```