---

license: cc-by-nc-4.0

language: [fa]

tags: [asr, speech-recognition, persian, farsi, fastconformer, rnnt, gguf, crispasr]

base_model: hojreh/Quds-v4-onnx

---

Quds v4 (Persian ASR) — GGUF for CrispASR

GGUF conversion of hojreh/Quds-v4-onnx (Quds v4, by @hojreh) —

a Persian ASR model fine-tuned from

nvidia/stt_fa_fastconformer_hybrid_large

(FastConformer Hybrid, CC-BY-4.0). Architecture: FastConformer encoder (17 layers, d=512) +

single-LSTM RNNT prediction network; trained on ~600 h of Persian audio, optimized for

Islamic lectures and Howzah courses. The RNNT decoder is included; the original hybrid's

CTC head is not part of the upstream ONNX export.

License: CC-BY-NC-4.0 — non-commercial use only (upstream model license).

Attribution: Quds v4 by hojreh; base model by NVIDIA (CC-BY-4.0).

The mel filterbank/window buffers are copied from the NVIDIA base checkpoint.

| file | quant | size | notes |

|---|---|---|---|

| quds-v4-fa-q8_0.gguf | Q8_0 | 122 MB | recommended — transcripts byte-identical to F16 on our test set |

| quds-v4-fa-q4_k.gguf | Q4_K | 77 MB | small; minor word-level drift vs F16 |

| quds-v4-fa-f16.gguf | F16 | 219 MB | reference precision |

Usage (CrispASR)

crispasr --backend quds -m auto -l fa audio.wav     # auto-download (accepts the NC license)

Validated against the upstream ONNX under onnx_asr (the model card's own runner):

transcripts byte-identical on 4/5 real Common Voice Persian clips, with the fifth

differing only at the clip onset (where this conversion is closer to the human

reference). Converted with CrispASR's models/convert-nemo-rnnt-onnx-to-gguf.py (#387).