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Model Comparison

ggml-org/gemma-4-26b-a4b-it-ggufvsunsloth/nemotron-3-nano-30b-a3b-gguf

Side-by-side comparison of ggml-org/gemma-4-26b-a4b-it-gguf and unsloth/nemotron-3-nano-30b-a3b-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

unsloth/nemotron-3-nano-30b-a3b-gguf

unsloth · text-generation

![](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16/resolve/main/accuracy_chart.png)

Side-by-side Specifications

ggml-org/gemma-4-26b-a4b-it-ggufunsloth/nemotron-3-nano-30b-a3b-gguf
Authorggml-orgunsloth
Pipeline Task—text-generation
Library—transformers
Downloads238,055210,458
Likes52290
LicenseUnknownUnknown
Context Length——
Created2026-04-012025-12-15
Last Modified2026-04-122025-12-31
Tags
ggufbase_model:google/gemma-4-26B-A4B-itbase_model:quantized:google/gemma-4-26B-A4B-itendpoints_compatibleregion:usconversational
transformersggufnvidiaunslothtext-generationenesfrdeja

View full details: ggml-org/gemma-4-26b-a4b-it-gguf · unsloth/nemotron-3-nano-30b-a3b-gguf