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
Swift-Qwen3.8-Flash-Next-oQ4e-mtp
This model was quantized using oQ (oMLX v0.7.0rc1) mixed-precision quantization.
Quantization details
- Model type: qwen4_exp
- Bits: 4
- Group size: 64
- Format: MLX safetensors
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Model size
180B params
Tensor type
U32
路
BF16 路
I64 路
Hardware compatibility
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4-bit
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Model tree for thosewhowrite/Swift-Qwen3.8-Flash-Next-oQ4e-mtp
Base model
Qwen/Qwen3.8-Flash-Next Finetuned
ukisai/Swift1.5-Qwen3.8-Flash-Next
# 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