Add Canary, Cohere Transcribe, and MOSS Transcribe Diarize GGUF models

.gitattributes

@@ -78,3 +78,11 @@ audio.cpp-gguf/Niagara-ASR-GGUF/niagara-19m-batch.en-f32.gguf filter=lfs diff=lf
 audio.cpp-gguf/Niagara-ASR-GGUF/niagara-38m-batch.en-f32.gguf filter=lfs diff=lfs merge=lfs -text
 Niagara-ASR-GGUF/niagara-19m-batch.en-f32.gguf filter=lfs diff=lfs merge=lfs -text
 Niagara-ASR-GGUF/niagara-38m-batch.en-f32.gguf filter=lfs diff=lfs merge=lfs -text
+Canary-180M-Flash-GGUF/canary-180m-flash-f32.gguf filter=lfs diff=lfs merge=lfs -text
+Canary-180M-Flash-GGUF/canary-180m-flash-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Cohere-Transcribe-GGUF/cohere-transcribe-03-2026-bf16.gguf filter=lfs diff=lfs merge=lfs -text
+Cohere-Transcribe-GGUF/cohere-transcribe-03-2026-q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Cohere-Transcribe-GGUF/cohere-transcribe-03-2026-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+MOSS-Transcribe-Diarize-GGUF/moss-transcribe-diarize-bf16.gguf filter=lfs diff=lfs merge=lfs -text
+MOSS-Transcribe-Diarize-GGUF/moss-transcribe-diarize-q4_k.gguf filter=lfs diff=lfs merge=lfs -text
+MOSS-Transcribe-Diarize-GGUF/moss-transcribe-diarize-q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Canary-180M-Flash-GGUF/LICENSE

@@ -0,0 +1,10 @@
+Creative Commons Attribution 4.0 International (CC BY 4.0)
+
+Original model: NVIDIA Canary 180M Flash
+Source: https://huggingface.co/nvidia/canary-180m-flash
+
+These model weights retain the original model's CC BY 4.0 license.
+License text: https://creativecommons.org/licenses/by/4.0/legalcode
+
+Changes: repackaged as GGUF with embedded configuration and tokenizers.
+The Q8_0 variant additionally quantizes eligible tensors.

Canary-180M-Flash-GGUF/README.md

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+---
+license: cc-by-4.0
+base_model: nvidia/canary-180m-flash
+language:
+- en
+- de
+- es
+- fr
+pipeline_tag: automatic-speech-recognition
+tags:
+- GGUF
+- audio.cpp
+---
+
+# Canary 180M Flash GGUF
+
+GGUF weights for [audio.cpp](https://github.com/0xShug0/audio.cpp), converted from
+[NVIDIA Canary 180M Flash](https://huggingface.co/nvidia/canary-180m-flash).
+The model recognizes English, German, Spanish, and French. Source and target languages
+can be selected independently, matching the Python API. NVIDIA documents translation
+quality for English-centric pairs.
+
+| File | Weight format |
+|---|---|
+| `canary-180m-flash-f32.gguf` | Original tensor values and dtypes, predominantly F32 |
+| `canary-180m-flash-q8_0.gguf` | Q8_0 for eligible tensors; other tensors retain supported precision |
+
+Both files include the configuration and five tokenizers. Quantization may change
+individual words; it does not guarantee identical output to the original weights.
+
+```bash
+audiocpp_cli --family canary_asr --task asr \
+  --model canary-180m-flash-f32.gguf \
+  --backend cuda --audio speech.wav --text-out transcript.txt --log
+```
+
+Long recordings are processed in chunks of up to 40 seconds. Use
+`--request-option language=de --request-option target_language=en` for German to
+English translation. This port provides offline text output, not timestamps.
+
+The original model is by NVIDIA and licensed under
+[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
+The conversion changes the container; the Q8_0 variant additionally quantizes
+eligible weights. Original checkpoints are not included here.

Canary-180M-Flash-GGUF/canary-180m-flash-f32.gguf

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Canary-180M-Flash-GGUF/canary-180m-flash-q8_0.gguf

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Cohere-Transcribe-GGUF/cohere-transcribe-03-2026-bf16.gguf

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Cohere-Transcribe-GGUF/cohere-transcribe-03-2026-q4_0.gguf

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Cohere-Transcribe-GGUF/cohere-transcribe-03-2026-q8_0.gguf

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MOSS-Transcribe-Diarize-GGUF/LICENSE

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MOSS-Transcribe-Diarize-GGUF/README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+base_model: OpenMOSS-Team/MOSS-Transcribe-Diarize
+tags:
+- gguf
+- audio.cpp
+- asr
+- diarization
+---
+
+# MOSS-Transcribe-Diarize GGUF
+
+BF16, Q8_0, and Q4_K weights for native [audio.cpp](https://github.com/0xShug0/audio.cpp)
+transcription, speaker diarization, and segment timestamps.
+
+Upstream: [OpenMOSS-Team/MOSS-Transcribe-Diarize](https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize),
+pinned to revision `704aa4a9c304e8520be88901e0d1960158ef5b15`.
+The model is licensed under Apache-2.0; see `LICENSE`.
+
+`moss-transcribe-diarize-bf16.gguf` contains all 683 original tensors (908.5M
+parameters) and the tokenizer/configuration sidecars. Every BF16 tensor was
+verified byte-for-byte against the original safetensors checkpoint. Whisper
+tensor names are mapped to the existing framework loader layout; tensor values
+and shapes are unchanged. The GGUF is slightly larger because it also embeds
+tokenizer/configuration files and metadata.
+
+No separate Whisper, Qwen, speaker model, VAD, or MOSS audio codec download is
+needed. Non-16-kHz audio requires the SOXR runtime library. Every variant is
+generated directly from the pinned safetensors checkpoint, never from another
+GGUF. Quantized variants retain unsupported tensors in floating-point precision.
+
+| File | Approximate size | Primary-fixture quality |
+| --- | ---: | --- |
+| `moss-transcribe-diarize-bf16.gguf` | 1.833 GB | Original weights; reference choice |
+| `moss-transcribe-diarize-q8_0.gguf` | 1.132 GB | Passes the same strict gate as BF16 |
+| `moss-transcribe-diarize-q4_k.gguf` | 0.758 GB | Not parity-safe: segment/timestamp drift |
+
+Q8 preserves words and speakers on the 28-second and 327.6-second fixtures,
+with at most 30 ms timestamp difference from Python FP32. Q4_K preserves their
+words and speakers but changes segment boundaries, with up to 680 ms drift on
+matched segments. Do not use Q4_K when faithful timing/segmentation is required.
+These fixtures do not establish accuracy on arbitrary recordings.
+
+```bash
+audiocpp_cli --task asr --family moss_transcribe_diarize \
+  --model moss-transcribe-diarize-bf16.gguf --backend cuda --threads 8 \
+  --audio recording.wav --log --log-file transcription.log
+```
+
+The native implementation uses F32 activations and an F16 decode KV cache.
+`--instruct "..."` (or `--request-option instruct=...`) replaces the default transcription instruction.
+Add `--mode streaming` to receive transcript deltas during decoding. Complete
+audio is required first; this is output streaming, not live microphone input.
+The embedded spec supports both modes. All requests use
+128-token chunked prefill directly into the GPU-resident FP16 decode
+cache. It removes duplicate prefill KV storage and the full square prompt
+mask, without offloading KV to CPU or truncating context. Cache memory and
+the block mask still grow with context capacity; VRAM is not constant.
+
+Tiny timestamp differences are possible versus Python FP32. Python BF16 may
+also choose a different word or segment break due to numerical sensitivity.
+RTX 5090, CUDA Debug, eight threads, default 5120-token limit; warm medians of
+three sequential requests after one cold request, excluding model load/upload:
+
+| Precision | 28 s inference / RTF | 327.6 s inference / RTF |
+| --- | ---: | ---: |
+| BF16 | 0.626 s / 0.0224 | 8.846 s / 0.0270 |
+| Q8_0 | 0.588 s / 0.0210 | 8.402 s / 0.0256 |
+| Q4_K | 0.590 s / 0.0211 | 8.318 s / 0.0254 |
+
+Q4_0 was also measured: 0.897 s and 8.216 s. Q4_K was retained for its better
+short-input latency and unchanged words; Q4_0 changed one word on the long
+fixture and split the short transcript into 14 segments instead of six.
+This is end-to-end latency, not equal-token kernel throughput.
+
+These regenerated local packages have not been uploaded or published as an
+audio.cpp release.

MOSS-Transcribe-Diarize-GGUF/moss-transcribe-diarize-bf16.gguf

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MOSS-Transcribe-Diarize-GGUF/moss-transcribe-diarize-q8_0.gguf

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