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dolphin-v2-mlx-4bit
BrainBuzzer/dolphin-v2-mlx-4bit
dolphin-v2-mlx-4bit is a image-text-to-text model from BrainBuzzer. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as other.
This repository contains a local MLX conversion of hfmodel intended for Apple Silicon inference.
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Model card
From the Hugging Face model README
Dolphin-v2 MLX Conversion
This repository contains a local MLX conversion of hf_model intended for Apple Silicon inference.
Important License Notice
The code in this repository may be MIT-licensed, but the model weights are not MIT licensed.
The converted weights remain subject to the upstream Qwen RESEARCH LICENSE AGREEMENT.
This bundle is provided for non-commercial research or evaluation use only unless you separately obtain commercial rights from the upstream licensors.
Required Attribution
Built with Qwen
Conversion Details
- Source model:
hf_model - Quantization:
4-bit / group size 64 / mode affine - Dtype:
bfloat16 - Trust remote code:
False
Included Compliance Files
LICENSE.upstream.txtNOTICEUPSTREAM_MODEL_CARD.mdPUBLISHING_CHECKLIST.md
Local Usage
uv run python -m mlx_vlm.generate \
--model . \
--max-tokens 512 \
--prompt "Parse the reading order of this document." \
--image /absolute/path/to/page.png
Publishing Guidance
Before publishing, confirm that:
- The intended release is non-commercial.
- The upstream license and notice files are included.
- Your model card prominently states
Built with Qwen. - You clearly state that the repository contains converted derivative weights.
- Task
- Image-Text-to-Text
- Library
- mlx
- Type
- qwen2_5_vl
- License
- other
- Created
- Mar 10, 2026
- Updated
- Mar 10, 2026