Automatic Speech Recognition
Transformers
rotorquant
kv-cache-quantization
meralion
whisper
audio
speech-recognition
sea-lion
quantized
Instructions to use majentik/MERaLiON-2-3B-RotorQuant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use majentik/MERaLiON-2-3B-RotorQuant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="majentik/MERaLiON-2-3B-RotorQuant")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("majentik/MERaLiON-2-3B-RotorQuant", dtype="auto") - Notebooks
- Google Colab
- Kaggle
docs: add status notice
Browse files
README.md
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pipeline_tag: automatic-speech-recognition
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# MERaLiON-2-3B-RotorQuant
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**RotorQuant KV cache compression** for [aisingapore/MERaLiON-AudioLLM-Whisper-SEA-LION-V3-3B](https://huggingface.co/aisingapore/MERaLiON-AudioLLM-Whisper-SEA-LION-V3-3B).
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pipeline_tag: automatic-speech-recognition
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---
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> [!NOTE]
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> **Status (2026-07-07): no weights published yet.** This repository currently contains only the model card — it marks a planned variant that has not been released. Follow the repo to be notified when files land.
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<!-- status-note -->
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# MERaLiON-2-3B-RotorQuant
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**RotorQuant KV cache compression** for [aisingapore/MERaLiON-AudioLLM-Whisper-SEA-LION-V3-3B](https://huggingface.co/aisingapore/MERaLiON-AudioLLM-Whisper-SEA-LION-V3-3B).
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