Update README.md

README.md

@@ -157,4 +157,66 @@ pipeline_tag: automatic-speech-recognition
 license: apache-2.0
 base_model:
 - openai/whisper-tiny
----
+---
+
+# Open4bits / Whisper Tiny FP16
+
+This repository provides the **Whisper Tiny model converted to FP16 (float16) precision**, published by Open4bits to enable highly efficient inference with minimal memory usage.
+
+The underlying Whisper model and architecture are **owned by OpenAI**. This repository contains only a precision-converted version of the original model weights.
+
+The model is designed for fast, lightweight multilingual speech-to-text tasks and is well suited for resource-constrained environments.
+
+---
+
+## Model Overview
+
+Whisper is a sequence-to-sequence transformer model developed by OpenAI for automatic speech recognition and speech translation.  
+This release uses the **Tiny** variant, prioritizing speed and low memory usage while preserving the original architecture.
+
+---
+
+## Model Details
+
+- **Architecture:** Whisper Tiny  
+- **Parameters:** ~37.85 million  
+- **Precision:** float16 (FP16)  
+- **Task:** Automatic Speech Recognition (ASR)  
+- **Languages:** Multilingual  
+- **Weight tying:** Preserved  
+- **Compatibility:** Hugging Face Transformers, PyTorch  
+
+Compared to larger Whisper variants, this model offers significantly faster inference and lower VRAM requirements, with reduced accuracy in some scenarios.
+
+---
+
+## Intended Use
+
+This model is intended for:
+- Fast speech-to-text transcription
+- Lightweight and real-time ASR applications
+- Edge or low-resource deployments
+- Research and prototyping
+
+---
+
+## Limitations
+
+* Lower transcription accuracy compared to larger Whisper variants
+* Performance depends on audio quality, language, and accent
+* Not fine-tuned for domain-specific or noisy audio
+
+---
+
+## License
+
+This model is released under the **Apache License 2.0**.
+The original Whisper model and associated intellectual property are owned by OpenAI.
+
+---
+
+## Support
+
+If you find this model useful, please consider supporting the project.
+Your support helps us continue releasing and maintaining high-quality open models.
+Support us with a heart.