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Ornith-1.5-9B-Abliterated-MLX-mixed36
shoemoney/Ornith-1.5-9B-Abliterated-MLX-mixed36
Ornith-1.5-9B-Abliterated-MLX-mixed36 is a machine learning model from shoemoney. 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-vlm. The card lists the license as mit.
MLX mixed 3/6 quantisation of huihui-ai/Huihui-Ornith-1.5-9B-abliterated.
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9.4B
6.4 GB on disk
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.safetensors6.4 GB · 100%
Parameter types
How the weights are stored.
U329B · 95%
Base models
Model card
From the Hugging Face model README
Ornith-1.5-9B-Abliterated — MLX mixed 3/6
MLX mixed 3/6 quantisation of huihui-ai/Huihui-Ornith-1.5-9B-abliterated.
Changes: weights quantised to mixed 3/6 from the BF16 source with
mlx_vlm.convert. No fine-tuning, no merging, no re-alignment.
Measured
Converted and measured on one machine — Apple M3 Ultra, 96 GB unified memory, macOS 27 — as part of a full ladder. Every rung in this family came from the same BF16 source with the same group size, so bit width is the only variable between them.
| Size on disk | 6.42 GB |
| Perplexity | 6.736 |
| Relative to best rung in family | 1.26× |
| Throughput (1 req / 8 concurrent) | 67.6 / 164.4 tok/s |
Perplexity measured on allenai/tulu-3-sft-mixture, 192 samples of 512 tokens,
seed 123 — identical for every rung.
Perplexity is only comparable within this family. Tokenizers differ between model families, so a number here should never be compared against a different base model's. The
×column above is the meaningful one.
Usage
pip install mlx-vlm
mlx_vlm.generate --model shoemoney/Ornith-1.5-9B-Abliterated-MLX-mixed36 --prompt "Hello" --max-tokens 256
Load with mlx-vlm, not mlx-lm — this architecture is registered in mlx-vlm.
Provenance
mlx_vlm.convert --hf-path huihui-ai/Huihui-Ornith-1.5-9B-abliterated \
--mlx-path Ornith-1.5-9B-Abliterated-mixed36 -q --q-bits 3 --q-group-size 64 --quant-predicate mixed_3_6
License
mit, inherited from the base model. Attribution above.
- Library
- mlx-vlm
- Type
- qwen3_5
- License
- mit
- Created
- Aug 24, 2026
- Updated
- Aug 24, 2026