docs: add install/run instructions (Releases + download script + landing) and q8

README.md

@@ -20,10 +20,24 @@ pipeline_tag: automatic-speech-recognition
 
 GGUF build of **[SenseVoiceSmall](https://huggingface.co/FunAudioLLM/SenseVoiceSmall)** (SAN-M encoder + CTC) for the zero-Python, CPU/edge **[FunASR llama.cpp runtime](https://github.com/FunAudioLLM/SenseVoice/tree/main/runtime/llama.cpp)** — multilingual ASR with language / emotion / event tags, **~20× real-time on CPU**.
 
+## Get it running (no Python, no build)
+
+These are GGUF weights for the **[FunASR llama.cpp runtime](https://github.com/modelscope/FunASR/tree/main/runtime/llama.cpp)** — a whisper.cpp-style, single self-contained binary for CPU / edge. Grab a prebuilt binary, then fetch this model and run:
+
+- **Prebuilt binaries (Linux / macOS / Windows) → [GitHub Releases](https://github.com/modelscope/FunASR/releases)** (tag `runtime-llamacpp-v*`)
+- **One-page quickstart & benchmarks → [funasr.com/llama-cpp](https://www.funasr.com/llama-cpp.html)**
+
+```bash
+bash download-funasr-model.sh sensevoice ./gguf
+llama-funasr-sensevoice -m ./gguf/sensevoice-small-q8.gguf --vad ./gguf/fsmn-vad.gguf -a audio.wav
+# → 欢迎大家来体验达摩院推出的语音识别模型
+```
+
 ## Files
 | file | size | notes |
 |---|---|---|
 | `sensevoice-small-f16.gguf` | 470 MB | **recommended** (f16 matmul weights) |
+| `sensevoice-small-q8.gguf` | ~235 MB | **recommended** — half of f16, same accuracy |
 | `sensevoice-small.gguf` | 936 MB | f32 reference |
 
 ## Usage