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Add model and project credits to README

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juli
2026-08-09 23:57:08 +02:00
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@@ -49,9 +49,11 @@ you want to erase the evidence and start fresh.
- **Inference:** llama.cpp compiled from source (pinned tag `b10333`) through the - **Inference:** llama.cpp compiled from source (pinned tag `b10333`) through the
NDK. Pulled automatically at build time via CMake `FetchContent` — no submodule NDK. Pulled automatically at build time via CMake `FetchContent` — no submodule
to init. to init.
- **Model:** `Qwen3.5-2B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf` (~1.5 GB) is - **Model:**
**downloaded on first launch** from Hugging Face into the app's private storage. [`Qwen3.5-2B-Uncensored-HauhauCS-Aggressive`](https://huggingface.co/HauhauCS/Qwen3.5-2B-Uncensored-HauhauCS-Aggressive)
It is *not* bundled in the APK. (Swap the quant in `ModelDownloader.kt`.) 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 - **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 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 prompt disables reasoning (empty `<think></think>` prefill + `/no_think`) to keep
@@ -99,6 +101,24 @@ manager, and tap it. First launch downloads the ~1.5 GB model over Wi-Fi.
| Model URL / filename | `ModelDownloader.kt` | | Model URL / filename | `ModelDownloader.kt` |
| Generation params (ctx, temp, tokens) | `MainActivity.kt` + `llama-jni.cpp` | | 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 ## TODO / notes
- **Branding:** launcher icon (adaptive + legacy densities) is generated from - **Branding:** launcher icon (adaptive + legacy densities) is generated from