Instructions to use blackfan23/Ornith-1.0-35B-Qwen3.6MTP-oQ4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use blackfan23/Ornith-1.0-35B-Qwen3.6MTP-oQ4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Ornith-1.0-35B-Qwen3.6MTP-oQ4 blackfan23/Ornith-1.0-35B-Qwen3.6MTP-oQ4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Ornith-1.0-35B-Qwen3.6MTP-oQ4
This model was quantized using oQ (oMLX v0.5.1) mixed-precision quantization.
Quantization details
- Model type: qwen3_5_moe
- Bits: 4
- Group size: 64
- Format: MLX safetensors
Overview
This is a hybrid mixed-precision oQ4 quantization of the agentic coding model Ornith-1.0-35B, grafted with the high-efficiency Multi-Token Prediction (MTP) lookahead blocks from Qwen3.6-35B-A3B.
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Model size
6B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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4-bit
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Model tree for blackfan23/Ornith-1.0-35B-Qwen3.6MTP-oQ4
Base model
ornith-ai/Ornith-1.0-35B
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Ornith-1.0-35B-Qwen3.6MTP-oQ4 blackfan23/Ornith-1.0-35B-Qwen3.6MTP-oQ4