Instructions to use NapYang/Ornith-1.0-35B-MLX-oQ3.5-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use NapYang/Ornith-1.0-35B-MLX-oQ3.5-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Ornith-1.0-35B-MLX-oQ3.5-fp16 NapYang/Ornith-1.0-35B-MLX-oQ3.5-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Ornith-1.0-35B-MLX-oQ3.5-fp16
I told Claude Opus to analyse Unsloth-Qwen3.6-35B-A3B-UD-3bit and Ornith-1.0-35B-MLX-oQ4 layers then quantized from the original model.
Quantization details
- Model type: qwen3_5_moe
- Bits: 3
- Group size: 64
- Format: MLX safetensors
Benchmark
Tested via omlx
- Humaneval: 97/100
- MBPP: 92/100
- Livecodebench: 45/100
- Downloads last month
- 772
Model size
35B params
Tensor type
F16
路
U32 路
BF16 路
Hardware compatibility
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3-bit
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Model tree for NapYang/Ornith-1.0-35B-MLX-oQ3.5-fp16
Base model
deepreinforce-ai/Ornith-1.0-35B