Automatic Speech Recognition
MLX
meralion2
meralion
speech
audio
speech-to-text
apple-silicon
quantized
4bit
rotorquant
gemma-2
whisper
sea-lion
custom_code
Instructions to use majentik/MERaLiON-2-10B-RotorQuant-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use majentik/MERaLiON-2-10B-RotorQuant-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MERaLiON-2-10B-RotorQuant-MLX-4bit majentik/MERaLiON-2-10B-RotorQuant-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
docs: Tier 2 polish — variant matrix + quant trade-off
Browse files
README.md
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- [majentik/MERaLiON-2-10B-RotorQuant-MLX-8bit](https://huggingface.co/majentik/MERaLiON-2-10B-RotorQuant-MLX-8bit) -- RotorQuant 8-bit (higher quality)
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- [majentik/MERaLiON-2-10B-RotorQuant-MLX-2bit](https://huggingface.co/majentik/MERaLiON-2-10B-RotorQuant-MLX-2bit) -- RotorQuant 2-bit (smaller)
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- [aisingapore/MERaLiON-AudioLLM-Whisper-SEA-LION-V3-10B](https://huggingface.co/aisingapore/MERaLiON-AudioLLM-Whisper-SEA-LION-V3-10B) -- Original base model
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- [majentik/MERaLiON-2-10B-RotorQuant-MLX-8bit](https://huggingface.co/majentik/MERaLiON-2-10B-RotorQuant-MLX-8bit) -- RotorQuant 8-bit (higher quality)
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- [majentik/MERaLiON-2-10B-RotorQuant-MLX-2bit](https://huggingface.co/majentik/MERaLiON-2-10B-RotorQuant-MLX-2bit) -- RotorQuant 2-bit (smaller)
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- [aisingapore/MERaLiON-AudioLLM-Whisper-SEA-LION-V3-10B](https://huggingface.co/aisingapore/MERaLiON-AudioLLM-Whisper-SEA-LION-V3-10B) -- Original base model
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## Quant trade-off (MLX lane)
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| Bits | Approx size | Use case | Recommendation |
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| 2-bit | ~2.6 GB | Aggressive quantization | Very low-RAM Macs |
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| 3-bit | ~3.6 GB | Lossy but small | Low-RAM Macs |
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| **4-bit** | ~4.2 GB | Balanced default | **Recommended for most Macs** |
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| 5-bit | ~5.0 GB | Higher fidelity | Quality-sensitive |
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| 6-bit | ~6.0 GB | Approaching FP16 quality | High-fidelity |
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| 8-bit | ~7.6 GB | Near-lossless reference | Fidelity-critical work |
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(Current variant — **4bit** — is bolded.)
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## Variants in this family
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(Showing 8 sibling variants under `majentik/meralion2-10b-*`. The current variant — `RotorQuant-MLX-4bit` — is **bolded**.)
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| Variant | Runtime | Approx size | Use case |
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|---|---|---|---|
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| [RotorQuant](https://huggingface.co/majentik/meralion2-10b-rotorquant) | runtime modifier | n/a | KV-cache root (weight-agnostic) |
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| [RotorQuant-MLX-2bit](https://huggingface.co/majentik/meralion2-10b-rotorquant-mlx-2bit) | mlx-lm | ~3.2 GB | Apple Silicon, smallest |
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| **RotorQuant-MLX-4bit** | mlx-lm | ~6.2 GB | Apple Silicon balanced |
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| [RotorQuant-MLX-8bit](https://huggingface.co/majentik/meralion2-10b-rotorquant-mlx-8bit) | mlx-lm | ~12 GB | Apple Silicon reference |
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| [TurboQuant](https://huggingface.co/majentik/meralion2-10b-turboquant) | runtime modifier | n/a | KV-cache root (weight-agnostic) |
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| [TurboQuant-MLX-2bit](https://huggingface.co/majentik/meralion2-10b-turboquant-mlx-2bit) | mlx-lm | ~3.2 GB | Apple Silicon, smallest |
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| [TurboQuant-MLX-4bit](https://huggingface.co/majentik/meralion2-10b-turboquant-mlx-4bit) | mlx-lm | ~6.2 GB | Apple Silicon balanced |
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| [TurboQuant-MLX-8bit](https://huggingface.co/majentik/meralion2-10b-turboquant-mlx-8bit) | mlx-lm | ~12 GB | Apple Silicon reference |
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