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Model Comparison

ccssne/gemma-4-26b-a4b-it-heretic-ara-ggufvsunsloth/nvidia-nemotron-3-nano-4b-gguf

Side-by-side comparison of ccssne/gemma-4-26b-a4b-it-heretic-ara-gguf and unsloth/nvidia-nemotron-3-nano-4b-gguf: downloads, license, context length, tasks, and benchmarks.

ccssne/gemma-4-26b-a4b-it-heretic-ara-gguf

CCSSNE · —

# Gemma-4-26B-A4B-It-Heretic-GGUF Quantized using Unsloth on RTX 4070 Laptop . This version includes the vision adapter (mmproj) and is optimized for local inference.

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

unsloth · text-generation

See Unsloth Dynamic 2.0 GGUFs for our quantization benchmarks. --- # NVIDIA-Nemotron-3-Nano-4B-BF16 **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

ccssne/gemma-4-26b-a4b-it-heretic-ara-ggufunsloth/nvidia-nemotron-3-nano-4b-gguf
AuthorCCSSNEunsloth
Pipeline Task—text-generation
Librarygguf—
Downloads91,84927,504
Likes2753
LicenseUnknownUnknown
Context Length——
Created2026-04-032026-03-16
Last Modified2026-04-032026-03-17
Tags
ggufunslothgemma-4quantizedmoebase_model:trohrbaugh/gemma-4-26B-A4B-it-heretic-arabase_model:quantized:trohrbaugh/gemma-4-26B-A4B-it-heretic-araendpoints_compatibleregion:usconversational
ggufnvidiapytorchtext-generationenarxiv:2511.16664arxiv:2504.03624arxiv:2512.20856arxiv:2512.20848arxiv:2412.02595

View full details: ccssne/gemma-4-26b-a4b-it-heretic-ara-gguf · unsloth/nvidia-nemotron-3-nano-4b-gguf