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diff --git a/README.md b/README.md
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+---
+license: cc-by-4.0
+library_name: parakeet.cpp
+tags:
+  - automatic-speech-recognition
+  - asr
+  - parakeet
+  - gguf
+  - ggml
+  - cpp-inference
+  - nemo
+pipeline_tag: automatic-speech-recognition
+base_model:
+  - nvidia/parakeet-tdt_ctc-110m
+  - nvidia/parakeet_realtime_eou_120m-v1
+  - nvidia/parakeet-ctc-0.6b
+  - nvidia/parakeet-rnnt-0.6b
+  - nvidia/parakeet-tdt-0.6b-v2
+  - nvidia/parakeet-tdt-0.6b-v3
+  - nvidia/parakeet-ctc-1.1b
+  - nvidia/parakeet-rnnt-1.1b
+  - nvidia/parakeet-tdt-1.1b
+  - nvidia/parakeet-tdt_ctc-1.1b
+---
+
+# Parakeet GGUF — models for parakeet.cpp
+
+GGUF-format weights for [parakeet.cpp](https://github.com/mudler/parakeet.cpp), a C++/ggml port of NVIDIA NeMo Parakeet that matches the upstream PyTorch models on CPU. This single repo collects **every supported model × quantization** as a flat set of `.gguf` files — download just the one you need.
+
+**F16 is the recommended default** — same accuracy as F32, ~1.7× smaller, and typically the fastest on modern CPUs via ggml's F32×F16 matmul fast path.
+
+## Models
+
+### tdt_ctc-110m
+
+Source: [nvidia/parakeet-tdt_ctc-110m](https://huggingface.co/nvidia/parakeet-tdt_ctc-110m) · Hybrid TDT+CTC (FastConformer) · heads: TDT + CTC
+
+| File | Variant | Size | WER vs NeMo |
+|---|---|---:|---:|
+| `tdt_ctc-110m-f16.gguf` ← **recommended** | F16 | 267.5 MB | 0.0000 |
+| `tdt_ctc-110m-q8_0.gguf` | Q8_0 | 177.8 MB | 0.0000 |
+| `tdt_ctc-110m-q6_k.gguf` | Q6_K | 155.9 MB | not measured |
+| `tdt_ctc-110m-q5_k.gguf` | Q5_K | 143.3 MB | not measured |
+| `tdt_ctc-110m-q4_k.gguf` | Q4_K | 131.4 MB | 0.0000 |
+
+### realtime_eou_120m-v1
+
+Source: [nvidia/parakeet_realtime_eou_120m-v1](https://huggingface.co/nvidia/parakeet_realtime_eou_120m-v1) · Cache-aware streaming RNNT (FastConformer, EOU/EOB) · heads: RNNT (streaming)
+
+| File | Variant | Size | WER vs NeMo |
+|---|---|---:|---:|
+| `realtime_eou_120m-v1-f16.gguf` ← **recommended** | F16 | 266.5 MB | not measured |
+| `realtime_eou_120m-v1-q8_0.gguf` | Q8_0 | 176.0 MB | not measured |
+| `realtime_eou_120m-v1-q6_k.gguf` | Q6_K | 153.9 MB | not measured |
+| `realtime_eou_120m-v1-q5_k.gguf` | Q5_K | 141.2 MB | not measured |
+| `realtime_eou_120m-v1-q4_k.gguf` | Q4_K | 129.1 MB | not measured |
+
+### ctc-0.6b
+
+Source: [nvidia/parakeet-ctc-0.6b](https://huggingface.co/nvidia/parakeet-ctc-0.6b) · CTC (FastConformer) · heads: CTC
+
+| File | Variant | Size | WER vs NeMo |
+|---|---|---:|---:|
+| `ctc-0.6b-f16.gguf` ← **recommended** | F16 | 1373.4 MB | 0.0000 |
+| `ctc-0.6b-q8_0.gguf` | Q8_0 | 875.4 MB | 0.0000 |
+| `ctc-0.6b-q6_k.gguf` | Q6_K | 746.8 MB | not measured |
+| `ctc-0.6b-q5_k.gguf` | Q5_K | 676.3 MB | not measured |
+| `ctc-0.6b-q4_k.gguf` | Q4_K | 609.9 MB | not measured |
+
+### rnnt-0.6b
+
+Source: [nvidia/parakeet-rnnt-0.6b](https://huggingface.co/nvidia/parakeet-rnnt-0.6b) · RNNT transducer (FastConformer) · heads: RNNT
+
+| File | Variant | Size | WER vs NeMo |
+|---|---|---:|---:|
+| `rnnt-0.6b-f16.gguf` ← **recommended** | F16 | 1402.8 MB | 0.0000 |
+| `rnnt-0.6b-q8_0.gguf` | Q8_0 | 903.9 MB | 0.0000 |
+| `rnnt-0.6b-q6_k.gguf` | Q6_K | 776.3 MB | not measured |
+| `rnnt-0.6b-q5_k.gguf` | Q5_K | 705.7 MB | not measured |
+| `rnnt-0.6b-q4_k.gguf` | Q4_K | 639.2 MB | not measured |
+
+### tdt-0.6b-v2
+
+Source: [nvidia/parakeet-tdt-0.6b-v2](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2) · TDT transducer (FastConformer) · heads: TDT
+
+| File | Variant | Size | WER vs NeMo |
+|---|---|---:|---:|
+| `tdt-0.6b-v2-f16.gguf` ← **recommended** | F16 | 1404.2 MB | 0.0000 |
+| `tdt-0.6b-v2-q8_0.gguf` | Q8_0 | 903.8 MB | 0.0000 |
+| `tdt-0.6b-v2-q6_k.gguf` | Q6_K | 775.9 MB | not measured |
+| `tdt-0.6b-v2-q5_k.gguf` | Q5_K | 705.0 MB | not measured |
+| `tdt-0.6b-v2-q4_k.gguf` | Q4_K | 638.4 MB | not measured |
+
+### tdt-0.6b-v3
+
+Source: [nvidia/parakeet-tdt-0.6b-v3](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) · TDT transducer (FastConformer) · heads: TDT
+
+| File | Variant | Size | WER vs NeMo |
+|---|---|---:|---:|
+| `tdt-0.6b-v3-f16.gguf` ← **recommended** | F16 | 1441.0 MB | 0.0000 |
+| `tdt-0.6b-v3-q8_0.gguf` | Q8_0 | 940.7 MB | 0.0000 |
+| `tdt-0.6b-v3-q6_k.gguf` | Q6_K | 812.7 MB | not measured |
+| `tdt-0.6b-v3-q5_k.gguf` | Q5_K | 741.9 MB | not measured |
+| `tdt-0.6b-v3-q4_k.gguf` | Q4_K | 675.2 MB | not measured |
+
+### ctc-1.1b
+
+Source: [nvidia/parakeet-ctc-1.1b](https://huggingface.co/nvidia/parakeet-ctc-1.1b) · CTC (FastConformer) · heads: CTC
+
+| File | Variant | Size | WER vs NeMo |
+|---|---|---:|---:|
+| `ctc-1.1b-f16.gguf` ← **recommended** | F16 | 2395.8 MB | 0.0000 |
+| `ctc-1.1b-q8_0.gguf` | Q8_0 | 1526.3 MB | 0.0000 |
+| `ctc-1.1b-q6_k.gguf` | Q6_K | 1301.7 MB | not measured |
+| `ctc-1.1b-q5_k.gguf` | Q5_K | 1178.5 MB | not measured |
+| `ctc-1.1b-q4_k.gguf` | Q4_K | 1062.6 MB | not measured |
+
+### rnnt-1.1b
+
+Source: [nvidia/parakeet-rnnt-1.1b](https://huggingface.co/nvidia/parakeet-rnnt-1.1b) · RNNT transducer (FastConformer) · heads: RNNT
+
+| File | Variant | Size | WER vs NeMo |
+|---|---|---:|---:|
+| `rnnt-1.1b-f16.gguf` ← **recommended** | F16 | 2425.2 MB | 0.0000 |
+| `rnnt-1.1b-q8_0.gguf` | Q8_0 | 1554.7 MB | 0.0000 |
+| `rnnt-1.1b-q6_k.gguf` | Q6_K | 1331.2 MB | not measured |
+| `rnnt-1.1b-q5_k.gguf` | Q5_K | 1207.9 MB | not measured |
+| `rnnt-1.1b-q4_k.gguf` | Q4_K | 1091.9 MB | not measured |
+
+### tdt-1.1b
+
+Source: [nvidia/parakeet-tdt-1.1b](https://huggingface.co/nvidia/parakeet-tdt-1.1b) · TDT transducer (FastConformer) · heads: TDT
+
+| File | Variant | Size | WER vs NeMo |
+|---|---|---:|---:|
+| `tdt-1.1b-f16.gguf` ← **recommended** | F16 | 2425.3 MB | 0.0000 |
+| `tdt-1.1b-q8_0.gguf` | Q8_0 | 1554.8 MB | 0.0000 |
+| `tdt-1.1b-q6_k.gguf` | Q6_K | 1331.2 MB | not measured |
+| `tdt-1.1b-q5_k.gguf` | Q5_K | 1207.9 MB | not measured |
+| `tdt-1.1b-q4_k.gguf` | Q4_K | 1091.9 MB | not measured |
+
+### tdt_ctc-1.1b
+
+Source: [nvidia/parakeet-tdt_ctc-1.1b](https://huggingface.co/nvidia/parakeet-tdt_ctc-1.1b) · Hybrid TDT+CTC (FastConformer) · heads: TDT + CTC
+
+| File | Variant | Size | WER vs NeMo |
+|---|---|---:|---:|
+| `tdt_ctc-1.1b-f16.gguf` ← **recommended** | F16 | 2429.5 MB | 0.0000 |
+| `tdt_ctc-1.1b-q8_0.gguf` | Q8_0 | 1559.0 MB | 0.0000 |
+| `tdt_ctc-1.1b-q6_k.gguf` | Q6_K | 1335.4 MB | not measured |
+| `tdt_ctc-1.1b-q5_k.gguf` | Q5_K | 1212.1 MB | not measured |
+| `tdt_ctc-1.1b-q4_k.gguf` | Q4_K | 1096.1 MB | not measured |
+
+> WER (word error rate) is computed against the upstream NeMo reference on `tests/fixtures/speech.wav` (LibriSpeech `2086-149220-0033`, ~7.4 s, English). 0.0 = byte-for-byte identical transcript. See [parity.md](https://github.com/mudler/parakeet.cpp/blob/main/docs/parity.md) and [quantization.md](https://github.com/mudler/parakeet.cpp/blob/main/docs/quantization.md).
+
+## Quantization notes
+
+Quantization is applied **only** to the large linear weights fed directly into `ggml_mul_mat` (encoder FFN + attention projections, subsampling output projection, joint enc/pred projections). All other tensors (mel filterbank, LSTM prediction net, conv kernels, batch_norm stats, norms, biases, embeddings) stay F32.
+
+## Usage
+
+```bash
+# 1. Clone + build parakeet.cpp
+git clone https://github.com/mudler/parakeet.cpp
+cd parakeet.cpp
+cmake -B build -DPARAKEET_BUILD_CLI=ON && cmake --build build -j
+
+# 2. Download one quant (F16 recommended)
+huggingface-cli download mudler/parakeet-cpp-gguf tdt_ctc-110m-f16.gguf --local-dir models/
+
+# 3. Transcribe
+build/examples/cli/parakeet-cli transcribe \
+    --model models/tdt_ctc-110m-f16.gguf \
+    --input audio.wav
+```
+
+## License
+
+The GGUF weights are derived from the NVIDIA NeMo Parakeet checkpoints, released under the [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) license. The parakeet.cpp runtime is MIT-licensed.
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