d3-W4A16-G128-AWQ is an unofficial INT4 weight-only (W4A16) AWQ quantization of d3, the 27B multimodal foundation decision model of Decision 3.0. It takes the same inputs and questions as d3 and returns a probability for every answer, without generating text, with 16.5 GB of weights instead of 52 GB. - Keeps 97.76% of d3's answers on the 14,031 test requests of tasksource-jev-typed-decisions, with accuracy 83.09% against BF16's 83.25%. - 16.9 GB of GPU memory after loading instead of 52.3 GB, and 17.5 GB at the peak of the 20 longest of 1,000 text requests (up to 5,928 characters of state) on an MI300X. - Reads images and videos as d3 does: the vision tower is unchanged, and d3's example…
Independent publisher
Park Soobin
subin
LLM inference and serving — vLLM internals, chat templates, tokenization, and NPU/GPU deployment.
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Models on Hugging Face4
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Published tasks: Zero shot classification.
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