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Model Comparison

ggml-org/smolvlm-256m-instruct-ggufvsunsloth/gemma-3-12b-it-qat-gguf

Side-by-side comparison of ggml-org/smolvlm-256m-instruct-gguf and unsloth/gemma-3-12b-it-qat-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/smolvlm-256m-instruct-gguf

ggml-org · —

Original model: https://huggingface.co/HuggingFaceTB/SmolVLM-256M-Instruct For more info, please refer to this PR: https://github.com/ggml-org/llama.cpp/pull/13050

unsloth/gemma-3-12b-it-qat-gguf

unsloth · image-text-to-text

**Model Page**: Gemma > [!Note] > This repository corresponds to the 12B **instruction-tuned** version of the Gemma 3 model using Quantization Aware Training (QAT). > > **The checkpoint in this repository is unquantized, please make sure to quantize with Q4_0 with your favorite …

Side-by-side Specifications

ggml-org/smolvlm-256m-instruct-ggufunsloth/gemma-3-12b-it-qat-gguf
Authorggml-orgunsloth
Pipeline Task—image-text-to-text
Library—transformers
Downloads33,08329,663
Likes1443
LicenseUnknownUnknown
Context Length——
Created2025-04-212025-04-21
Last Modified2025-04-302025-05-12
Tags
ggufbase_model:HuggingFaceTB/SmolVLM-256M-Instructbase_model:quantized:HuggingFaceTB/SmolVLM-256M-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
transformersggufgemma3image-text-to-textunslothgemmagooglearxiv:1905.07830arxiv:1905.10044arxiv:1911.11641

View full details: ggml-org/smolvlm-256m-instruct-gguf · unsloth/gemma-3-12b-it-qat-gguf