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Model Comparison

unsloth/nemotron-3-nano-30b-a3b-ggufvsunsloth/z-image-turbo-gguf

Side-by-side comparison of unsloth/nemotron-3-nano-30b-a3b-gguf and unsloth/z-image-turbo-gguf: downloads, license, context length, tasks, and benchmarks.

unsloth/nemotron-3-nano-30b-a3b-gguf

unsloth · text-generation

![](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16/resolve/main/accuracy_chart.png)

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

unsloth/nemotron-3-nano-30b-a3b-ggufunsloth/z-image-turbo-gguf
Authorunslothunsloth
Pipeline Tasktext-generationtext-to-image
Librarytransformersggml
Downloads210,45844,268
Likes290133
LicenseUnknownUnknown
Context Length
Created2025-12-152025-12-21
Last Modified2025-12-312026-01-08
Tags
transformersggufnvidiaunslothtext-generationenesfrdeja
ggmlggufquantizedunslothtext-to-imageenarxiv:2511.22699arxiv:2511.22677arxiv:2511.13649base_model:Tongyi-MAI/Z-Image-Turbo

View full details: unsloth/nemotron-3-nano-30b-a3b-gguf · unsloth/z-image-turbo-gguf