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maziyarpanahi/nvidia-nemotron-nano-12b-v2-ggufvsunsloth/z-image-turbo-gguf

Side-by-side comparison of maziyarpanahi/nvidia-nemotron-nano-12b-v2-gguf and unsloth/z-image-turbo-gguf: downloads, license, context length, tasks, and benchmarks.

maziyarpanahi/nvidia-nemotron-nano-12b-v2-gguf

MaziyarPanahi · text-generation

# MaziyarPanahi/NVIDIA-Nemotron-Nano-12B-v2-GGUF

unsloth/z-image-turbo-gguf

unsloth · text-to-image

# Use bfloat16 for optimal performance on supported GPUs pipe = ZImagePipeline.from_pretrained( "Tongyi-MAI/Z-Image-Turbo", torch_dtype=torch.bfloat16, low_cpu_mem_usage=False, ) pipe.to("cuda") # [Optional] Attention Backend # Diffusers uses SDPA by default. Switch to Flash Att…

Side-by-side Specifications

maziyarpanahi/nvidia-nemotron-nano-12b-v2-ggufunsloth/z-image-turbo-gguf
AuthorMaziyarPanahiunsloth
Pipeline Tasktext-generationtext-to-image
Libraryggml
Downloads25,05744,268
Likes2133
LicenseUnknownUnknown
Context Length
Created2025-11-282025-12-21
Last Modified2025-11-282026-01-08
Tags
ggufmistralquantized2-bit3-bit4-bit5-bit6-bit8-bitGGUF
ggmlggufquantizedunslothtext-to-imageenarxiv:2511.22699arxiv:2511.22677arxiv:2511.13649base_model:Tongyi-MAI/Z-Image-Turbo

View full details: maziyarpanahi/nvidia-nemotron-nano-12b-v2-gguf · unsloth/z-image-turbo-gguf