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Model Comparison

jayn7/z-image-turbo-ggufvsmradermacher/aum-1-70b-i1-gguf

Side-by-side comparison of jayn7/z-image-turbo-gguf and mradermacher/aum-1-70b-i1-gguf: downloads, license, context length, tasks, and benchmarks.

jayn7/z-image-turbo-gguf

jayn7 · text-to-image

# Diffusers uses SDPA by default. Switch to Custom attention backend for better efficiency if supported: #pipeline.transformer.set_attention_backend("_sage_qk_int8_pv_fp16_triton") # Enable Sage Attention #pipeline.transformer.set_attention_backend("flash") # Enable Flash-Attent…

mradermacher/aum-1-70b-i1-gguf

mradermacher · —

## About weighted/imatrix quants of https://huggingface.co/Nitish-Garikoti/aum-1-70B ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/aum-1-70B-GGUF

Side-by-side Specifications

jayn7/z-image-turbo-ggufmradermacher/aum-1-70b-i1-gguf
Authorjayn7mradermacher
Pipeline Tasktext-to-image—
Library—transformers
Downloads41,37731,795
Likes3480
LicenseUnknownUnknown
Context Length——
Created2025-11-272026-03-31
Last Modified2025-12-052026-04-03
Tags
gguftext-to-imageimage-generationbase_model:Tongyi-MAI/Z-Image-Turbobase_model:quantized:Tongyi-MAI/Z-Image-Turbolicense:apache-2.0region:us
transformersggufllamathinkingreasoningdistillationsftpytorchenbase_model:Nitish-Garikoti/aum-1-70B

View full details: jayn7/z-image-turbo-gguf · mradermacher/aum-1-70b-i1-gguf