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

README.md

@@ -21,6 +21,18 @@ pipeline_tag: automatic-speech-recognition
 
 GGUF build of **Fun-ASR-Nano** (SenseVoice SAN-M encoder + adaptor + **Qwen3-0.6B** LLM decoder) for the zero-Python, CPU/edge **[FunASR llama.cpp runtime](https://github.com/FunAudioLLM/Fun-ASR/tree/main/runtime/llama.cpp)** — the accuracy leader (LLM decoder), single C++ binary.
 
+## 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 nano ./gguf
+llama-funasr-cli --enc ./gguf/funasr-encoder-f16.gguf -m ./gguf/qwen3-0.6b-q8_0.gguf --vad ./gguf/fsmn-vad.gguf -a audio.wav
+```
+
 ## Files
 | file | size | notes |
 |---|---|---|