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Model Comparison

ggml-org/smolvlm2-500m-video-instruct-ggufvsjiunsong/supergemma4-26b-uncensored-gguf-v2

Side-by-side comparison of ggml-org/smolvlm2-500m-video-instruct-gguf and jiunsong/supergemma4-26b-uncensored-gguf-v2: downloads, license, context length, tasks, and benchmarks.

ggml-org/smolvlm2-500m-video-instruct-gguf

ggml-org · —

Original model: https://huggingface.co/HuggingFaceTB/SmolVLM2-500M-Video-Instruct For more info, please refer to this PR: https://github.com/ggml-org/llama.cpp/pull/13050

jiunsong/supergemma4-26b-uncensored-gguf-v2

Jiunsong · text-generation

The fast, uncensored llama.cpp build of the strongest SuperGemma text line. This release is for people who want three things together:

Side-by-side Specifications

ggml-org/smolvlm2-500m-video-instruct-ggufjiunsong/supergemma4-26b-uncensored-gguf-v2
Authorggml-orgJiunsong
Pipeline Task—text-generation
Library——
Downloads24,74142,468
Likes17336
LicenseUnknownUnknown
Context Length——
Created2025-04-212026-04-11
Last Modified2025-04-302026-04-12
Tags
ggufbase_model:HuggingFaceTB/SmolVLM2-500M-Video-Instructbase_model:quantized:HuggingFaceTB/SmolVLM2-500M-Video-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
ggufgemma4uncensoredfastllama.cppapple-siliconconversationalkoreancodingtool-use

View full details: ggml-org/smolvlm2-500m-video-instruct-gguf · jiunsong/supergemma4-26b-uncensored-gguf-v2