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Model Comparison

ggml-org/smolvlm-500m-instruct-ggufvsjayn7/z-image-turbo-gguf

Side-by-side comparison of ggml-org/smolvlm-500m-instruct-gguf and jayn7/z-image-turbo-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/smolvlm-500m-instruct-gguf

ggml-org · —

Original model: https://huggingface.co/HuggingFaceTB/SmolVLM-500M-Instruct For more info, please refer to this PR: https://github.com/ggml-org/llama.cpp/pull/13050

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…

Side-by-side Specifications

ggml-org/smolvlm-500m-instruct-ggufjayn7/z-image-turbo-gguf
Authorggml-orgjayn7
Pipeline Task—text-to-image
Library——
Downloads734,12441,377
Likes49348
LicenseUnknownUnknown
Context Length——
Created2025-04-212025-11-27
Last Modified2025-04-302025-12-05
Tags
ggufbase_model:HuggingFaceTB/SmolVLM-500M-Instructbase_model:quantized:HuggingFaceTB/SmolVLM-500M-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
gguftext-to-imageimage-generationbase_model:Tongyi-MAI/Z-Image-Turbobase_model:quantized:Tongyi-MAI/Z-Image-Turbolicense:apache-2.0region:us

View full details: ggml-org/smolvlm-500m-instruct-gguf · jayn7/z-image-turbo-gguf