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Model Comparison

ggml-org/gemma-4-26b-a4b-it-ggufvsggml-org/smolvlm-500m-instruct-gguf

Side-by-side comparison of ggml-org/gemma-4-26b-a4b-it-gguf and ggml-org/smolvlm-500m-instruct-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/gemma-4-26b-a4b-it-gguf

ggml-org · —

# gemma-4-26B-A4B-it-GGUF Recommended way to run this model: ``sh llama-server -hf ggml-org/gemma-4-26B-A4B-it-GGUF `` Then, access http://localhost:8080

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

Side-by-side Specifications

ggml-org/gemma-4-26b-a4b-it-ggufggml-org/smolvlm-500m-instruct-gguf
Authorggml-orgggml-org
Pipeline Task——
Library——
Downloads238,055734,124
Likes5249
LicenseUnknownUnknown
Context Length——
Created2026-04-012025-04-21
Last Modified2026-04-122025-04-30
Tags
ggufbase_model:google/gemma-4-26B-A4B-itbase_model:quantized:google/gemma-4-26B-A4B-itendpoints_compatibleregion:usconversational
ggufbase_model:HuggingFaceTB/SmolVLM-500M-Instructbase_model:quantized:HuggingFaceTB/SmolVLM-500M-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational

View full details: ggml-org/gemma-4-26b-a4b-it-gguf · ggml-org/smolvlm-500m-instruct-gguf