GraySoft
Download guIDE →
Model Comparison

ggml-org/smolvlm-500m-instruct-ggufvsunsloth/gemma-3-27b-it-gguf

Side-by-side comparison of ggml-org/smolvlm-500m-instruct-gguf and unsloth/gemma-3-27b-it-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

unsloth/gemma-3-27b-it-gguf

unsloth · image-text-to-text

**Model Page**: Gemma **Resources and Technical Documentation**: * [Gemma 3 Technical Report][g3-tech-report] * [Responsible Generative AI Toolkit][rai-toolkit] * [Gemma on Kaggle][kaggle-gemma] * [Gemma on Vertex Model Garden][vertex-mg-gemma3] **Terms of Use**: [Terms][terms] …

Side-by-side Specifications

ggml-org/smolvlm-500m-instruct-ggufunsloth/gemma-3-27b-it-gguf
Authorggml-orgunsloth
Pipeline Task—image-text-to-text
Library—transformers
Downloads734,124112,767
Likes49199
LicenseUnknownUnknown
Context Length——
Created2025-04-212025-03-12
Last Modified2025-04-302025-08-14
Tags
ggufbase_model:HuggingFaceTB/SmolVLM-500M-Instructbase_model:quantized:HuggingFaceTB/SmolVLM-500M-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
transformersggufgemma3image-text-to-textunslothgemmagoogleenarxiv:1905.07830arxiv:1905.10044

View full details: ggml-org/smolvlm-500m-instruct-gguf · unsloth/gemma-3-27b-it-gguf