Instructions to use wezzel98765/Qwen3.6-35B-A3B-oQ4e-fp16-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use wezzel98765/Qwen3.6-35B-A3B-oQ4e-fp16-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.6-35B-A3B-oQ4e-fp16-mtp wezzel98765/Qwen3.6-35B-A3B-oQ4e-fp16-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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license: apache-2.0
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license: apache-2.0
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library_name: mlx
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base_model:
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- Qwen/Qwen3.6-35B-A3B
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Text and vision retained<br>
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Quantised using oMLX v0.5.0.rc1 OQ Enhanced quantization (oQe) iMatrix<br>
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MTP Heads retained <br>
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FP16 is fastest on M1/M2 , but this can work on all MLX inferencing systems <br>
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This model is using the LATEST FROGGERIC chat template upgrade (Fixed jinja chat templates for Qwen 3.5 & 3.6 (v21)) <br>
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