Add TDT-CTC-110M to model documentation

- Hybrid TDT-CTC architecture with 110M parameters
- 3.01% WER on LibriSpeech test-clean
- 96.5x RTFx performance on M2 Mac
- iOS compatible with fused preprocessor+encoder

Documentation/Models.md

@@ -10,6 +10,7 @@ A guide to each CoreML model pipeline in FluidAudio.
 |-------|-------------|---------|
 | **Parakeet TDT v2** | Batch speech-to-text, English only (0.6B params). TDT architecture. | First ASR model added. |
 | **Parakeet TDT v3** | Batch speech-to-text, 25 European languages (0.6B params). Default ASR model. | Released after v2 to add multilingual support. |
+| **Parakeet TDT-CTC-110M** | Hybrid TDT-CTC batch model (110M params). 3.01% WER on LibriSpeech test-clean. 96.5x RTFx on M2 Mac. Fused preprocessor+encoder for reduced memory footprint. iOS compatible. | Smaller, faster alternative to v3 with competitive accuracy. |
 
 TDT models process audio in chunks (~15s with overlap) as batch operations. Fast enough for dictation-style workflows. Not suitable for word-by-word live captions.
 
@@ -63,6 +64,7 @@ Models we converted and tested but haven't shipped yet — either still in devel
 |-------|-----------------|
 | Parakeet TDT v3 | [FluidInference/parakeet-tdt-0.6b-v3-coreml](https://huggingface.co/FluidInference/parakeet-tdt-0.6b-v3-coreml) |
 | Parakeet TDT v2 | [FluidInference/parakeet-tdt-0.6b-v2-coreml](https://huggingface.co/FluidInference/parakeet-tdt-0.6b-v2-coreml) |
+| Parakeet TDT-CTC-110M | [FluidInference/parakeet-tdt-ctc-110m-coreml](https://huggingface.co/FluidInference/parakeet-tdt-ctc-110m-coreml) |
 | Parakeet CTC 110M | [FluidInference/parakeet-ctc-110m-coreml](https://huggingface.co/FluidInference/parakeet-ctc-110m-coreml) |
 | Parakeet CTC 0.6B | [FluidInference/parakeet-ctc-0.6b-coreml](https://huggingface.co/FluidInference/parakeet-ctc-0.6b-coreml) |
 | Parakeet EOU | [FluidInference/parakeet-realtime-eou-120m-coreml](https://huggingface.co/FluidInference/parakeet-realtime-eou-120m-coreml) |