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Model Comparison

teichai/gemma-4-26b-a4b-it-claude-opus-distill-ggufvsunsloth/z-image-turbo-gguf

Side-by-side comparison of teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf and unsloth/z-image-turbo-gguf: downloads, license, context length, tasks, and benchmarks.

teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf

TeichAI · —

> **Build Environment & Features:** > - **Fine-tuning Framework**: **Unsloth** > - **Reasoning Effort**: **High** > - This model bridges the gap between Google's exceptional open-weights architecture and Claude 4.6's profound reasoning capabilities, leveraging cutting-edge fine-…

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

teichai/gemma-4-26b-a4b-it-claude-opus-distill-ggufunsloth/z-image-turbo-gguf
AuthorTeichAIunsloth
Pipeline Task—text-to-image
Library—ggml
Downloads34,35444,268
Likes37133
LicenseUnknownUnknown
Context Length——
Created2026-04-042025-12-21
Last Modified2026-04-152026-01-08
Tags
gguftext-generation-inferencellama.cppunslothgemma4reasoningdataset:TeichAI/Claude-Opus-4.6-Reasoning-887xdataset:TeichAI/Claude-Sonnet-4.6-Reasoning-1100xdataset:TeichAI/claude-4.5-opus-high-reasoning-250xdataset:TeichAI/Claude-Opus-4.6-Reasoning-500x
ggmlggufquantizedunslothtext-to-imageenarxiv:2511.22699arxiv:2511.22677arxiv:2511.13649base_model:Tongyi-MAI/Z-Image-Turbo

View full details: teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf · unsloth/z-image-turbo-gguf