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zhifu gaoandLauraGPT b7da5cc706 Add llama.cpp / GGUF runtime for FunASR models (#2988)
* Add llama.cpp/GGUF runtime for Fun-ASR-Nano, SenseVoice and Paraformer

Run FunASR models entirely on the llama.cpp / ggml stack: CPU / edge, single
binary, no Python at runtime, quantized GGUF weights (like whisper.cpp for
Whisper). Adds runtime/llama.cpp/ with three models sharing a common ggml SAN-M
encoder / FSMN / attention and kaldi fbank front end:

- fun-asr-nano : SAN-M encoder + adaptor + Qwen3-0.6B LLM (audio embeds injected
  via llama_decode embedding input, llava/mtmd style); integrated WAV->text CLI.
- sensevoice   : SAN-M encoder + CTC; WAV->CTC ids.
- paraformer   : SAN-M encoder + CIF predictor + SAN-M decoder (non-autoregressive).

Each ships a GGUF export script and a README (architecture, quickstart, accuracy,
gotchas). Validated against the PyTorch reference (encoder cosine ~1.0; SenseVoice
CTC ids identical; Paraformer text identical; Fun-ASR-Nano CER within 0.02% under
identical conditions). Adds a new directory only; no existing code is modified.

* docs: add comprehensive design document (architecture, GGUF format, validation, gotchas)

* docs: link README to DESIGN.md

* fix: address code review (WAV ch/bits validation, chunk guard, null/leak checks)

Fixes gemini-code-assist findings: validate channels/bits in the WAV reader
(reject non-16-bit/zero-channel instead of dividing by zero), guard chunk size
>=1, null-check fopen/llama_context, and fclose/ggml_free on all paths.

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Co-authored-by: LauraGPT <[email protected]>
2026-06-19 12:06:42 +08:00
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