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djrsystemservices/Agents-A1-4B-oQ8e-mtp
Agents-A1-4B-oQ8e-mtp is a image-text-to-text model from djrsystemservices. 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 apache-2.0.
This is an oQ8e MLX conversion produced with oMLX.
Downloads · 30 days
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.safetensors5.4 GB · 100%
How the weights are stored.
U324.2B · 90%
From the Hugging Face model README
This is an oQ8e MLX conversion produced with oMLX.
Agents-A1-4B-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 Agents-A1-4B-bf16 --models-dir /path/to/models --oq-level 8.0 --imatrix-samples 128 --imatrix-seq-length 512 --mtp-donor /path/to/Qwen3.5-4B-MTP-donor --mtp-source-repo https://huggingface.co/guru87/Qwen3.5-4B-MTP --source-repo https://huggingface.co/InternScience/Agents-A1-4B
The donor checkpoint was merged as an oMLX Lightning MTP head. The donor was kept at its shipped precision and was not independently quantized.
Qwen3.5-4B-MTP-donormodel-*-of-*.safetensors: sharded quantized MLX weightsmodel.safetensors.index.json: shard indexmodel-mtp.safetensors: shipped-precision Lightning MTP headconfig.json: model configurationoq_imatrix_report.json: imatrix calibration and quantization report