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Model Comparison

ccssne/gemma-4-31b-it-heretic-ara-ggufvsunsloth/z-image-turbo-gguf

Side-by-side comparison of ccssne/gemma-4-31b-it-heretic-ara-gguf and unsloth/z-image-turbo-gguf: downloads, license, context length, tasks, and benchmarks.

ccssne/gemma-4-31b-it-heretic-ara-gguf

CCSSNE · —

# Gemma-4-31B-It-Heretic-GGUF Quantized using Unsloth on RTX 4070 Laptop . This version includes the vision adapter (mmproj) and is optimized for local inference.

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

ccssne/gemma-4-31b-it-heretic-ara-ggufunsloth/z-image-turbo-gguf
AuthorCCSSNEunsloth
Pipeline Task—text-to-image
Libraryggufggml
Downloads48,71444,268
Likes4133
LicenseUnknownUnknown
Context Length——
Created2026-04-032025-12-21
Last Modified2026-04-032026-01-08
Tags
ggufunslothgemma-4quantizedbase_model:trohrbaugh/gemma-4-31b-it-heretic-arabase_model:quantized:trohrbaugh/gemma-4-31b-it-heretic-araendpoints_compatibleregion:usconversational
ggmlggufquantizedunslothtext-to-imageenarxiv:2511.22699arxiv:2511.22677arxiv:2511.13649base_model:Tongyi-MAI/Z-Image-Turbo

View full details: ccssne/gemma-4-31b-it-heretic-ara-gguf · unsloth/z-image-turbo-gguf