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Model Comparison

mradermacher/minimax-m2.5-carve-v1-bf16-i1-ggufvsunsloth/z-image-turbo-gguf

Side-by-side comparison of mradermacher/minimax-m2.5-carve-v1-bf16-i1-gguf and unsloth/z-image-turbo-gguf: downloads, license, context length, tasks, and benchmarks.

mradermacher/minimax-m2.5-carve-v1-bf16-i1-gguf

mradermacher · —

## About weighted/imatrix quants of https://huggingface.co/vpyn/MiniMax-M2.5-CARVE-v1-BF16 ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/MiniMax-M2.5-CARVE-v1-BF16-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

mradermacher/minimax-m2.5-carve-v1-bf16-i1-ggufunsloth/z-image-turbo-gguf
Authormradermacherunsloth
Pipeline Task—text-to-image
Librarytransformersggml
Downloads22,56544,268
Likes0133
LicenseUnknownUnknown
Context Length——
Created2026-03-252025-12-21
Last Modified2026-03-302026-01-08
Tags
transformersggufenbase_model:vpyn/MiniMax-M2.5-CARVE-v1-BF16base_model:quantized:vpyn/MiniMax-M2.5-CARVE-v1-BF16endpoints_compatibleregion:usimatrixconversational
ggmlggufquantizedunslothtext-to-imageenarxiv:2511.22699arxiv:2511.22677arxiv:2511.13649base_model:Tongyi-MAI/Z-Image-Turbo

View full details: mradermacher/minimax-m2.5-carve-v1-bf16-i1-gguf · unsloth/z-image-turbo-gguf