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Model Comparison

ggml-org/smolvlm2-2.2b-instruct-ggufvsunsloth/z-image-turbo-gguf

Side-by-side comparison of ggml-org/smolvlm2-2.2b-instruct-gguf and unsloth/z-image-turbo-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/smolvlm2-2.2b-instruct-gguf

ggml-org · —

Original model: https://huggingface.co/HuggingFaceTB/SmolVLM2-2.2B-Instruct For more info, please refer to this PR: https://github.com/ggml-org/llama.cpp/pull/13050

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

ggml-org/smolvlm2-2.2b-instruct-ggufunsloth/z-image-turbo-gguf
Authorggml-orgunsloth
Pipeline Task—text-to-image
Library—ggml
Downloads24,92044,268
Likes32133
LicenseUnknownUnknown
Context Length——
Created2025-04-212025-12-21
Last Modified2025-04-302026-01-08
Tags
ggufbase_model:HuggingFaceTB/SmolVLM2-2.2B-Instructbase_model:quantized:HuggingFaceTB/SmolVLM2-2.2B-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
ggmlggufquantizedunslothtext-to-imageenarxiv:2511.22699arxiv:2511.22677arxiv:2511.13649base_model:Tongyi-MAI/Z-Image-Turbo

View full details: ggml-org/smolvlm2-2.2b-instruct-gguf · unsloth/z-image-turbo-gguf