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Model Comparison

jiunsong/supergemma4-26b-uncensored-gguf-v2vsnvidia/nvidia-nemotron-3-nano-4b-gguf

Side-by-side comparison of jiunsong/supergemma4-26b-uncensored-gguf-v2 and nvidia/nvidia-nemotron-3-nano-4b-gguf: downloads, license, context length, tasks, and benchmarks.

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:

nvidia/nvidia-nemotron-3-nano-4b-gguf

nvidia · text-generation

**Model Developer:** NVIDIA Corporation **Model Dates:** Dec 2025 \- Jan 2026 **Data Freshness:** September 2024 The pretraining data has a cutoff date of September 2024\.

Side-by-side Specifications

jiunsong/supergemma4-26b-uncensored-gguf-v2nvidia/nvidia-nemotron-3-nano-4b-gguf
AuthorJiunsongnvidia
Pipeline Tasktext-generationtext-generation
Library—transformers
Downloads42,46826,805
Likes336118
LicenseUnknownUnknown
Context Length——
Created2026-04-112026-03-07
Last Modified2026-04-122026-03-16
Tags
ggufgemma4uncensoredfastllama.cppapple-siliconconversationalkoreancodingtool-use
transformersggufnvidiapytorchtext-generationendataset:nvidia/Nemotron-CC-v2dataset:nvidia/Nemotron-Post-Training-Dataset-v2dataset:nvidia/Nemotron-Science-v1dataset:nvidia/Nemotron-Instruction-Following-Chat-v1

View full details: jiunsong/supergemma4-26b-uncensored-gguf-v2 · nvidia/nvidia-nemotron-3-nano-4b-gguf