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Model Comparison

maziyarpanahi/deepseek-r1-0528-qwen3-8b-ggufvsunsloth/nvidia-nemotron-3-nano-4b-gguf

Side-by-side comparison of maziyarpanahi/deepseek-r1-0528-qwen3-8b-gguf and unsloth/nvidia-nemotron-3-nano-4b-gguf: downloads, license, context length, tasks, and benchmarks.

maziyarpanahi/deepseek-r1-0528-qwen3-8b-gguf

MaziyarPanahi · text-generation

# MaziyarPanahi/DeepSeek-R1-0528-Qwen3-8B-GGUF

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

maziyarpanahi/deepseek-r1-0528-qwen3-8b-ggufunsloth/nvidia-nemotron-3-nano-4b-gguf
AuthorMaziyarPanahiunsloth
Pipeline Tasktext-generationtext-generation
Library
Downloads90,10327,504
Likes953
LicenseUnknownUnknown
Context Length
Created2025-05-292026-03-16
Last Modified2025-05-292026-03-17
Tags
ggufmistralquantized2-bit3-bit4-bit5-bit6-bit8-bitGGUF
ggufnvidiapytorchtext-generationenarxiv:2511.16664arxiv:2504.03624arxiv:2512.20856arxiv:2512.20848arxiv:2412.02595

View full details: maziyarpanahi/deepseek-r1-0528-qwen3-8b-gguf · unsloth/nvidia-nemotron-3-nano-4b-gguf