Model Comparison

maziyarpanahi/mixtral-8x22b-v0.1-ggufvsnvidia/nvidia-nemotron-3-nano-4b-gguf

Side-by-side comparison of maziyarpanahi/mixtral-8x22b-v0.1-gguf and nvidia/nvidia-nemotron-3-nano-4b-gguf: downloads, license, context length, tasks, and benchmarks.

maziyarpanahi/mixtral-8x22b-v0.1-gguf

MaziyarPanahi · text-generation

On April 10th, @MistralAI released a model named "Mixtral 8x22B," an 176B MoE via magnet link (torrent): The GGUF and quantized models here are based on v2ray/Mixtral-8x22B-v0.1 model

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

	maziyarpanahi/mixtral-8x22b-v0.1-gguf	nvidia/nvidia-nemotron-3-nano-4b-gguf
Author	MaziyarPanahi	nvidia
Pipeline Task	text-generation	text-generation
Library	transformers	transformers
Downloads	89,597	26,805
Likes	75	118
License	Unknown	Unknown
Context Length	—	—
Created	2024-04-10	2026-03-07
Last Modified	2024-04-15	2026-03-16
Tags	transformersggufmixtraltext-generationquantized2-bit3-bit4-bit5-bit6-bit	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: maziyarpanahi/mixtral-8x22b-v0.1-gguf · nvidia/nvidia-nemotron-3-nano-4b-gguf