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Model Comparison

ggml-org/smolvlm2-500m-video-instruct-ggufvsunsloth/nvidia-nemotron-3-nano-4b-gguf

Side-by-side comparison of ggml-org/smolvlm2-500m-video-instruct-gguf and unsloth/nvidia-nemotron-3-nano-4b-gguf: 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

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

ggml-org/smolvlm2-500m-video-instruct-ggufunsloth/nvidia-nemotron-3-nano-4b-gguf
Authorggml-orgunsloth
Pipeline Task—text-generation
Library——
Downloads24,74127,504
Likes1753
LicenseUnknownUnknown
Context Length——
Created2025-04-212026-03-16
Last Modified2025-04-302026-03-17
Tags
ggufbase_model:HuggingFaceTB/SmolVLM2-500M-Video-Instructbase_model:quantized:HuggingFaceTB/SmolVLM2-500M-Video-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
ggufnvidiapytorchtext-generationenarxiv:2511.16664arxiv:2504.03624arxiv:2512.20856arxiv:2512.20848arxiv:2412.02595

View full details: ggml-org/smolvlm2-500m-video-instruct-gguf · unsloth/nvidia-nemotron-3-nano-4b-gguf