diff --git a/README.md b/README.md
index cbcfb49..bd92808 100644
--- a/README.md
+++ b/README.md
@@ -12,6 +12,12 @@ A simple menu bar app for voice dictation using OpenAI Whisper (local, offline).
 
 ## macOS
 
+### What's new in 1.3.1
+
+- 🪶 **Quantized models** — *Large v3 Turbo q5_0* keeps the transcription server at ~0.7 GB RAM instead of ~1.75 GB, at the same speed (also Small q5_1, Medium q5_0, Turbo q8_0 and Large v3 q5_0)
+- 📥 **Download progress window** — progress bar, size, speed, time remaining, Cancel/Retry; progress also shows in the menu bar and Settings
+- 🔥 **Model warm-up at recording start** — if the model was paged out after a pause, it starts loading as soon as you start talking, not after you stop; the HUD tells you when a transcription is slower because the model is still loading
+
 ### What's new in 1.3.0
 
 - ⚡ **Warm transcription server** — the Whisper model stays loaded in a background `whisper-server`, so each dictation is a fast local call (~0.5s) instead of reloading the 1.5–1.6 GB model on every utterance
@@ -28,7 +34,8 @@ A simple menu bar app for voice dictation using OpenAI Whisper (local, offline).
 - ⌨️ Automatic paste into any focused app
 - 📋 Clipboard preservation - your copied content is restored after paste
 - ⚙️ Settings window with model selection dropdown
-- 📥 Built-in model downloader with progress indicator
+- 📥 Built-in model downloader with a progress window (speed, time remaining, cancel/retry)
+- 🪶 Quantized model options for much lower memory use
 - 🚀 Launch at login support
 - 🔊 Sound feedback (optional)
 - 📦 Self-contained - whisper-cli and whisper-server bundled in the app
@@ -83,7 +90,7 @@ make install
 
 Click the menu bar icon → Settings to configure:
 - **Language**: Auto-detect or 31 supported languages
-- **Model**: Select from installed models or download new ones
+- **Model**: Select from installed models or download new ones (✓ marks models already downloaded)
 - **Dictionary**: Add *Heard → Replacement* pairs to fix names/jargon (use `\n` for a newline); the replacement terms also improve recognition
 - **Sound feedback**: Toggle audio feedback on/off
 - **Launch at login**: Start automatically when you log in
@@ -101,9 +108,21 @@ Download models directly from the app or manually:
 | Large v3 Turbo | 1.6 GB | ~4 sec | Best | **Recommended** - fast like Medium, accurate like Large |
 | Large v3 | 3.1 GB | ~8 sec | Maximum | Difficult audio, max accuracy |
 
+**Quantized variants** (q5/q8) have much smaller weights, so the model uses far less memory, with a small accuracy trade-off:
+
+| Model | Size | Full-size equivalent |
+|-------|------|----------------------|
+| Small q5_1 | 181 MB | Small (466 MB) |
+| Medium q5_0 | 514 MB | Medium (1.5 GB) |
+| Large v3 Turbo q5_0 | 547 MB | Large v3 Turbo (1.6 GB) — measured ~0.7 GB RAM vs ~1.75 GB, same speed |
+| Large v3 Turbo q8_0 | 833 MB | Large v3 Turbo (1.6 GB) — near-identical accuracy |
+| Large v3 q5_0 | 1.0 GB | Large v3 (3.1 GB) |
+
 Models are stored in `~/.whisper-models/`
 
 > With the warm server (1.3.0+), the selected model loads once at startup (a few seconds); after that each dictation skips the reload, so the speeds above are roughly the per-dictation transcription time.
+>
+> The server keeps the whole model in memory while it runs. If macOS pages it out after a long pause, 1.3.1+ starts loading it back as soon as you start recording, and the HUD shows *"Loading model into memory…"* if that takes a moment.
 
 ### Audio Feedback