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djrsystemservices/Ornith-1.5-9B-oQ6e-mtp
Ornith-1.5-9B-oQ6e-mtp is a machine learning model from djrsystemservices. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx.
This is an oQ6e MLX conversion produced with oMLX.
Downloads · 30 days
107
17% of all-time downloads
All-time downloads
635
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9.7B
8.5 GB on disk
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.safetensors8.5 GB · 100%
How the weights are stored.
U329.2B · 95%
From the Hugging Face model README
This is an oQ6e MLX conversion produced with oMLX.
Ornith-1.5-9B-bf16Please follow the original model's license, acceptable-use policy, and attribution requirements.
enhanced=True)oQe uses an imatrix sensitivity calibration to assign precision selectively,
rather than applying a uniform bit-width to every tensor. The generated
oq_imatrix_report.json records the resulting quantization allocation.
python run_oqe_conversion.py Ornith-1.5-9B-bf16 --models-dir /path/to/models --oq-level 6.0 --imatrix-samples 128 --imatrix-seq-length 512 --mtp-donor /path/to/Qwen3.5-9B-bf16 --mtp-source-repo https://huggingface.co/Qwen/Qwen3.5-9B --source-repo https://huggingface.co/PleIAs/Ornith-1.5-9B
The donor MTP head was injected into the staged source before conversion, so it was included in the normal MTP sanitize, imatrix, and quantization passes.
Qwen3.5-9B-bf16model.safetensors or model-*-of-*.safetensors: quantized MLX weightsmodel.safetensors.index.json: shard index (present for sharded outputs)config.json: model configurationoq_imatrix_report.json: imatrix calibration and quantization report