Modelpublic

gnukeith/Ocelot-1-VL-MLX-8bit

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face

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Model Card

Ocelot-1-VL MLX 8-bit

Near-BF16 MLX 8-bit, group-size 64 conversion of Ocelot-1-VL, merged into its BF16 Qwen3-VL-4B-Instruct base. Effective quantization is 9.202 bits/weight because sensitive and unsupported tensors remain at higher precision.

This model is specialized only for webpage summarization. Follow the strict prompt contract and limitations in the original model card.

bash

pip install 'mlx-vlm @ git+https://github.com/Blaizzy/mlx-vlm.git'
python -m mlx_vlm generate --model . --prompt 'The is the text of a webpage: <page>Page text here</page> Summarise the content between the <page> tags, or if no content is found use the screenshots provided, in the Brave Summary style.' --max-tokens 512

Converted with MLX-VLM revision 0b1d25e334686bd36dda71b2307d186dbb3e7859. Text generation smoke test passed.