Instructions to use jancirnodziewiaty/Qwen3.8-27B-abliterated-oQ4e-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use jancirnodziewiaty/Qwen3.8-27B-abliterated-oQ4e-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download jancirnodziewiaty/Qwen3.8-27B-abliterated-oQ4e-mtp --local-dir Qwen3.8-27B-abliterated-oQ4e-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Qwen3.8-27B-abliterated-oQ4e-mtp (075e5f2)
This model was quantized using oQ (oMLX v0.6.4) mixed-precision quantization.
Quantization details
- Model type: qwen3_5
- Bits: 4
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 147
Model size
28B params
Tensor type
U32
·
BF16 ·
Hardware compatibility
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4-bit
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Model tree for jancirnodziewiaty/Qwen3.8-27B-abliterated-oQ4e-mtp
Base model
Qwen/Qwen3.8-27B Finetuned
huihui-ai/Huihui-Qwen3.8-27B-abliterated