Instructions to use thosewhowrite/Swift-Qwen3.8-Flash-Next-oQ4e-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use thosewhowrite/Swift-Qwen3.8-Flash-Next-oQ4e-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download thosewhowrite/Swift-Qwen3.8-Flash-Next-oQ4e-mtp --local-dir Swift-Qwen3.8-Flash-Next-oQ4e-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 372 Bytes
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library_name: mlx
tags:
- mlx
- oq
- quantized
base_model:
- ukisai/Swift-Qwen3.8-Flash-Next
---
# Swift-Qwen3.8-Flash-Next-oQ4e-mtp
This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.7.0rc1) mixed-precision quantization.
## Quantization details
- **Model type**: qwen4_exp
- **Bits**: 4
- **Group size**: 64
- **Format**: MLX safetensors |