Update README.md

README.md

@@ -16,9 +16,9 @@ tags:
 pipeline_tag: text-to-speech
 ---
 
-# Prat-9B-NF4
+# Prat-9B-NF4 (preview)
 
-A 4-bit (NF4) quantized Norwegian (Bokmal) text-to-speech model fine-tuned for the Ostnorsk/Oslo dialect.
+Also see [Prat 9B](https://huggingface.co/heiertech/Prat-9B)
 
 ## Quantization Details
 
@@ -28,14 +28,6 @@ A 4-bit (NF4) quantized Norwegian (Bokmal) text-to-speech model fine-tuned for t
 - **Model size**: ~6.2 GB (vs ~19 GB for bf16)
 - **VRAM usage**: ~7 GB
 
-## Training Details
-
-This model was trained using a progressive 3-stage fine-tuning approach:
-
-1. **Stage 1**: Initial Norwegian (Bokmal) training on Mozilla Common Voice
-2. **Stage 2**: Continued training on broader Norwegian data
-3. **Stage 3**: Dialect-specific fine-tuning for Ostnorsk/Oslo dialect
-
 ## Usage
 
 ```python
@@ -77,13 +69,4 @@ with torch.no_grad():
     )
 
 audio = outputs.speech_outputs[0]  # 24kHz audio
-```
-
-## Base Model
-
-This model is a fine-tune of [VibeVoice-7B](https://huggingface.co/vibevoice/VibeVoice-7B). Note that despite the name, VibeVoice-7B is actually a 9B parameter model.
-
-## Acknowledgments
-
-- Base model: [vibevoice/VibeVoice-7B](https://huggingface.co/vibevoice/VibeVoice-7B)
-- Training data: Mozilla Common Voice Norwegian
+```