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Model Comparison

ggml-org/smolvlm-256m-instruct-ggufvsnvidia/nvidia-nemotron-3-nano-4b-gguf

Side-by-side comparison of ggml-org/smolvlm-256m-instruct-gguf and nvidia/nvidia-nemotron-3-nano-4b-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/smolvlm-256m-instruct-gguf

ggml-org · —

Original model: https://huggingface.co/HuggingFaceTB/SmolVLM-256M-Instruct For more info, please refer to this PR: https://github.com/ggml-org/llama.cpp/pull/13050

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

ggml-org/smolvlm-256m-instruct-ggufnvidia/nvidia-nemotron-3-nano-4b-gguf
Authorggml-orgnvidia
Pipeline Task—text-generation
Library—transformers
Downloads33,08326,805
Likes14118
LicenseUnknownUnknown
Context Length——
Created2025-04-212026-03-07
Last Modified2025-04-302026-03-16
Tags
ggufbase_model:HuggingFaceTB/SmolVLM-256M-Instructbase_model:quantized:HuggingFaceTB/SmolVLM-256M-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
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: ggml-org/smolvlm-256m-instruct-gguf · nvidia/nvidia-nemotron-3-nano-4b-gguf