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Model Comparison

jiunsong/supergemma4-26b-uncensored-gguf-v2vsunsloth/z-image-turbo-gguf

Side-by-side comparison of jiunsong/supergemma4-26b-uncensored-gguf-v2 and unsloth/z-image-turbo-gguf: downloads, license, context length, tasks, and benchmarks.

jiunsong/supergemma4-26b-uncensored-gguf-v2

Jiunsong · text-generation

The fast, uncensored llama.cpp build of the strongest SuperGemma text line. This release is for people who want three things together:

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

jiunsong/supergemma4-26b-uncensored-gguf-v2unsloth/z-image-turbo-gguf
AuthorJiunsongunsloth
Pipeline Tasktext-generationtext-to-image
Libraryggml
Downloads42,46844,268
Likes336133
LicenseUnknownUnknown
Context Length
Created2026-04-112025-12-21
Last Modified2026-04-122026-01-08
Tags
ggufgemma4uncensoredfastllama.cppapple-siliconconversationalkoreancodingtool-use
ggmlggufquantizedunslothtext-to-imageenarxiv:2511.22699arxiv:2511.22677arxiv:2511.13649base_model:Tongyi-MAI/Z-Image-Turbo

View full details: jiunsong/supergemma4-26b-uncensored-gguf-v2 · unsloth/z-image-turbo-gguf