Automatic Speech Recognition
MLX
Safetensors
voxtral_realtime
mlx-audio
speech-to-text
streaming
realtime
voxtral
fp16
4-bit precision
Instructions to use iris-sfg/Voxtral-Mini-4B-Realtime-2602-4bit-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use iris-sfg/Voxtral-Mini-4B-Realtime-2602-4bit-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download iris-sfg/Voxtral-Mini-4B-Realtime-2602-4bit-fp16 --local-dir Voxtral-Mini-4B-Realtime-2602-4bit-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model.safetensors from iris-sfg/Voxtral-Mini-4B-Realtime-2602-4bit-fp16: direct link, hf CLI and curl.
- Browser
- Download file 2.51 GB
-
https://huggingface.co/iris-sfg/Voxtral-Mini-4B-Realtime-2602-4bit-fp16/resolve/main/model.safetensors
- Command line
-
hf download hf://iris-sfg/Voxtral-Mini-4B-Realtime-2602-4bit-fp16/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/iris-sfg/Voxtral-Mini-4B-Realtime-2602-4bit-fp16/resolve/main/model.safetensors
2.51 GB
- Xet hash:
- 5806c6735fa4008aeadbf030604c82fa24fa485f51de28d64ed531f8a3ba5b6f
- Size of remote file:
- 2.51 GB
- SHA256:
- 8ea4e642801c525a8b8f4d2ac4ee4685e649502e09b4cfa843fa819ced0be0f5
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