MERaLiON-2-10B-MLX

12
—
by
MERaLiON
Code Model
OTHER
10B params
New
12 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
23GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
10GB+ RAM

Code Examples

How to Usetext
pip install transformers==4.50.1
pip install librosa
MLX Inference on Apple Siliconbash
pip install mlx-meralion
MLX Inference on Apple Siliconpython
from mlx_meralion import load_model, transcribe

# Load model (auto-downloads from HuggingFace)
model = load_model("MERaLiON/MERaLiON-2-10B-MLX")

# Transcribe speech
text = transcribe(model, "audio.wav")
print(text)

# Translation
text = transcribe(model, "audio.wav", task="translate_zh")

# Spoken question answering
text = transcribe(model, "audio.wav", task="sqa", question="What is the speaker talking about?")

# Summarization
text = transcribe(model, "audio.wav", task="summarize")

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