FunAudioLLM
/

Fun-ASR-Nano-GGUF

Automatic Speech Recognition

arxiv:2407.04051

Model card Files Files and versions

docs: link the deployment product hub

#2

by langgz - opened 3 days ago

base: refs/heads/main

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@@ -39,7 +39,7 @@ Recommended: **q4_K_M** (smallest) or **q5_K_M** (best).
 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

 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*`)
+- **Deployment guide & qualified benchmarks → [funasr.com/deploy/llama-cpp](https://www.funasr.com/deploy/llama-cpp.html)**
 ```bash
 bash download-funasr-model.sh nano ./gguf