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Model Comparison

unsloth/nvidia-nemotron-3-nano-4b-ggufvsunsloth/z-image-turbo-gguf

Side-by-side comparison of unsloth/nvidia-nemotron-3-nano-4b-gguf and unsloth/z-image-turbo-gguf: downloads, license, context length, tasks, and benchmarks.

unsloth/nvidia-nemotron-3-nano-4b-gguf

unsloth · text-generation

See Unsloth Dynamic 2.0 GGUFs for our quantization benchmarks. --- # NVIDIA-Nemotron-3-Nano-4B-BF16 **Model Developer:** NVIDIA Corporation **Model Dates:** Dec 2025 \- Jan 2026 **Data Freshness:** September 2024 The pretraining data has a cutoff date of September 2024\.

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/nvidia-nemotron-3-nano-4b-ggufunsloth/z-image-turbo-gguf
Authorunslothunsloth
Pipeline Tasktext-generationtext-to-image
Library—ggml
Downloads27,50444,268
Likes53133
LicenseUnknownUnknown
Context Length——
Created2026-03-162025-12-21
Last Modified2026-03-172026-01-08
Tags
ggufnvidiapytorchtext-generationenarxiv:2511.16664arxiv:2504.03624arxiv:2512.20856arxiv:2512.20848arxiv:2412.02595
ggmlggufquantizedunslothtext-to-imageenarxiv:2511.22699arxiv:2511.22677arxiv:2511.13649base_model:Tongyi-MAI/Z-Image-Turbo

View full details: unsloth/nvidia-nemotron-3-nano-4b-gguf · unsloth/z-image-turbo-gguf