Add model and project credits to README

README.md

@@ -1,12 +1,31 @@
-# tsjetpiti
+<p align="center">
+  <img src="piti-icon.png" alt="tsjetpiti icon" width="132">
+</p>
 
-A dead-simple Android chat app that runs an **uncensored Qwen3.5-2B** model
-fully **on-device** via an embedded [llama.cpp](https://github.com/ggml-org/llama.cpp),
-wrapped in an **extremely barebones WebView UI**.
+<p align="center">
+  <img src="piti-logo.png" alt="tsjetpiti" width="360">
+</p>
 
-tsjet has a deliberate personality: it **always answers**, sounds confident and
-plausible, and is **hilariously, purposely wrong**. Hit **new tsjet** to wipe the
-conversation and start fresh.
+<p align="center">
+  <strong>Tiny app. Big model. Absolutely no idea what it's talking about.</strong>
+</p>
+
+<p align="center">
+  <sub>ANDROID 11+ &nbsp;&bull;&nbsp; ARM64 &nbsp;&bull;&nbsp; FULLY ON-DEVICE &nbsp;&bull;&nbsp; CONFIDENTLY WRONG</sub>
+</p>
+
+---
+
+## Meet tsjet
+
+**tsjetpiti** is a dead-simple Android chat app running an uncensored
+**Qwen3.5-2B** model entirely on your phone through embedded
+[llama.cpp](https://github.com/ggml-org/llama.cpp). No cloud inference, no
+account, and no conversation leaving the device.
+
+tsjet has one special talent: it **always answers**, sounds completely
+confident, and is **hilariously, deliberately wrong**. Hit **new tsjet** whenever
+you want to erase the evidence and start fresh.
 
 ---
 
@@ -30,9 +49,11 @@ conversation and start fresh.
 - **Inference:** llama.cpp compiled from source (pinned tag `b10333`) through the
   NDK. Pulled automatically at build time via CMake `FetchContent` — no submodule
   to init.
-- **Model:** `Qwen3.5-2B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf` (~1.5 GB) is
-  **downloaded on first launch** from Hugging Face into the app's private storage.
-  It is *not* bundled in the APK. (Swap the quant in `ModelDownloader.kt`.)
+- **Model:**
+  [`Qwen3.5-2B-Uncensored-HauhauCS-Aggressive`](https://huggingface.co/HauhauCS/Qwen3.5-2B-Uncensored-HauhauCS-Aggressive)
+  in Q6_K format (~1.5 GB) is **downloaded on first launch** from Hugging Face
+  into the app's private storage. It is *not* bundled in the APK. (Swap the
+  quant in `ModelDownloader.kt`.)
 - **Persona:** set via `SYSTEM_PROMPT` in `MainActivity.kt`; sampling is a little
   hot (temp 0.9) for playful answers. The model is a Qwen3 "thinking" model, so the
   prompt disables reasoning (empty `<think></think>` prefill + `/no_think`) to keep
@@ -80,6 +101,24 @@ manager, and tap it. First launch downloads the ~1.5 GB model over Wi-Fi.
 | Model URL / filename | `ModelDownloader.kt` |
 | Generation params (ctx, temp, tokens) | `MainActivity.kt` + `llama-jni.cpp` |
 
+## Credits
+
+tsjetpiti is small because it stands on the shoulders of some decidedly
+not-small projects:
+
+- [Qwen3.5-2B](https://huggingface.co/Qwen/Qwen3.5-2B) by the Qwen team is the
+  upstream base model.
+- [Qwen3.5-2B-Uncensored-HauhauCS-Aggressive](https://huggingface.co/HauhauCS/Qwen3.5-2B-Uncensored-HauhauCS-Aggressive)
+  by [HauhauCS](https://huggingface.co/HauhauCS) is the model variant and GGUF
+  quantization used by the app.
+- [llama.cpp](https://github.com/ggml-org/llama.cpp) by the ggml-org community
+  provides the on-device inference engine and GGUF runtime.
+- [Android](https://developer.android.com/) and
+  [Kotlin](https://kotlinlang.org/) provide the application platform and native
+  app layer.
+- [Gradle](https://gradle.org/) and [CMake](https://cmake.org/) power the Kotlin
+  and C++ build.
+
 ## TODO / notes
 
 - **Branding:** launcher icon (adaptive + legacy densities) is generated from