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cornball-ai/zimage-R

zimage-R Prebuilt NF4 artifact of the Z-Image-Turbo transformer for the diffuseR R package. Built with diffuseR::flux_quantize(format = "nf4") from Tongyi-MAI/Z-Image-Turbo (Apache-2.0): NF4-packed uint8 weights with float32 absmax blocks, bfloat16 residents, sharded under 2 GB so the CRAN release of the safetensors R package reads it. Fetched automatically by diffuseR::download_zimage_turbo() when the resolved precision is nf4. The text encoder, VAE, and tokenizer come from the… See the full description on the dataset page: https://huggingface.co/datasets/cornball-ai/zimage-R.

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face

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1---2license: apache-2.03---4 5# zimage-R6 7Prebuilt NF4 artifact of the Z-Image-Turbo transformer for the8[diffuseR](https://github.com/cornball-ai/diffuseR) R package.9 10Built with `diffuseR::flux_quantize(format = "nf4")` from11[Tongyi-MAI/Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo)12(Apache-2.0): NF4-packed uint8 weights with float32 absmax blocks,13bfloat16 residents, sharded under 2 GB so the CRAN release of the14safetensors R package reads it.15 16Fetched automatically by `diffuseR::download_zimage_turbo()` when the17resolved precision is nf4. The text encoder, VAE, and tokenizer come18from the upstream repo; only the quantized transformer lives here.19