Automatic Speech Recognition
Transformers
rotorquant
kv-cache-quantization
meralion
whisper
audio
speech-recognition
sea-lion
quantized
Instructions to use majentik/MERaLiON-3-10B-RotorQuant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use majentik/MERaLiON-3-10B-RotorQuant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="majentik/MERaLiON-3-10B-RotorQuant")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("majentik/MERaLiON-3-10B-RotorQuant", dtype="auto") - Notebooks
- Google Colab
- Kaggle
docs: Tier 2 polish — variant matrix + quant trade-off
Browse files
README.md
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- [TurboQuant paper (arXiv 2504.19874)](https://arxiv.org/abs/2504.19874)
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- [llama-cpp-turboquant fork](https://github.com/johndpope/llama-cpp-turboquant/tree/feature/planarquant-kv-cache)
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- [Base model: aisingapore/MERaLiON-3-10B](https://huggingface.co/aisingapore/MERaLiON-3-10B)
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- [TurboQuant paper (arXiv 2504.19874)](https://arxiv.org/abs/2504.19874)
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- [llama-cpp-turboquant fork](https://github.com/johndpope/llama-cpp-turboquant/tree/feature/planarquant-kv-cache)
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- [Base model: aisingapore/MERaLiON-3-10B](https://huggingface.co/aisingapore/MERaLiON-3-10B)
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## Variants in this family
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(Showing 8 sibling variants under `majentik/meralion3-10b-*`. The current variant — `RotorQuant` — is **bolded**.)
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| Variant | Runtime | Approx size | Use case |
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|---|---|---|---|
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| **RotorQuant** | runtime modifier | n/a | KV-cache root (weight-agnostic) |
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| [RotorQuant-MLX-2bit](https://huggingface.co/majentik/meralion3-10b-rotorquant-mlx-2bit) | mlx-lm | ~3.2 GB | Apple Silicon, smallest |
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| [RotorQuant-MLX-4bit](https://huggingface.co/majentik/meralion3-10b-rotorquant-mlx-4bit) | mlx-lm | ~6.2 GB | Apple Silicon balanced |
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| [RotorQuant-MLX-8bit](https://huggingface.co/majentik/meralion3-10b-rotorquant-mlx-8bit) | mlx-lm | ~12 GB | Apple Silicon reference |
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| [TurboQuant](https://huggingface.co/majentik/meralion3-10b-turboquant) | runtime modifier | n/a | KV-cache root (weight-agnostic) |
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| [TurboQuant-MLX-2bit](https://huggingface.co/majentik/meralion3-10b-turboquant-mlx-2bit) | mlx-lm | ~3.2 GB | Apple Silicon, smallest |
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| [TurboQuant-MLX-4bit](https://huggingface.co/majentik/meralion3-10b-turboquant-mlx-4bit) | mlx-lm | ~6.2 GB | Apple Silicon balanced |
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| [TurboQuant-MLX-8bit](https://huggingface.co/majentik/meralion3-10b-turboquant-mlx-8bit) | mlx-lm | ~12 GB | Apple Silicon reference |
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