swiftpick-30B-A3B decision model
swiftpick-30B-A3B is a text-only Nemotron decision adapter. Read its tagged runtime, hardware needs, reported tests and NVIDIA licence.
By harishvs · Hugging Face package release: 5 Nov 2026
A decision adapter and readout head trained on the text decoder of Nemotron-3-Nano-Omni-30B-A3B. The adapter combines three training runs. The same weights can read images, video and audio through the base’s frozen encoders using the tagged multimodal runtime. Media were not used in training. The repository’s main branch and released package versions cannot load this base.
Quick answers
What is swiftpick-30B-A3B by harishvs?
swiftpick-30B-A3B: A decision adapter and readout head trained on the text decoder of Nemotron-3-Nano-Omni-30B-A3B.
Who makes swiftpick-30B-A3B?
Facts
- Base
- Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 text decoder
- Inputs
- Text; zero-shot images, audio and video with at most 16 frames; choice, noul and score
- Licence
- NVIDIA Open Model Agreement for the model derivative; code Apache-2.0
- Hardware
- 62.5 GB bf16 base download; one 80 GB GPU or multiple GPUs, plus CUDA Mamba kernels
- Access
- Public adapter and head; swiftpick-30B-A3B-v1-mm runtime tag
Claims and sources
- The maker reports 183 of 231 public JevBench items correct (79.22%), Brier 0.287 and ECE 0.059 at a 4,096-token window. Its separate 42.4 Intelligence estimate uses only the open half of the v1.5 method and omits sealed items and other axes; it is not an official score or rank. Questions are sometimes under-read, and calibration transfers poorly beyond the fitted short tasks. vendor reportedsource
- In one H100 bf16 serving evaluation, the maker reports NaturalBench accuracy 0.820 on 1,200 items, MINDS-14 en-US 0.986 on 563 and Perception Test video 0.720 on 300. Removing media reduces performance, but mean confidence remains 0.74 to 0.82 on image and keyword sets. Media presence needs checking; these few public sets do not establish broad multimodal reliability. vendor reportedsource
Links
Source: Model card and files → Source: Multimodal runtime and evaluation →
Related projects
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