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Model Comparison

ggml-org/glm-ocr-ggufvsnvidia/nvidia-nemotron-3-nano-4b-gguf

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

ggml-org/glm-ocr-gguf

ggml-org · —

This model is converted from zai-org/GLM-OCR to GGUF using convert_hf_to_gguf.py To use it: `` llama-server -hf ggml-org/GLM-OCR-GGUF ``

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/glm-ocr-ggufnvidia/nvidia-nemotron-3-nano-4b-gguf
Authorggml-orgnvidia
Pipeline Task—text-generation
Library—transformers
Downloads21,79126,805
Likes50118
LicenseUnknownUnknown
Context Length——
Created2026-02-172026-03-07
Last Modified2026-03-102026-03-16
Tags
ggufbase_model:zai-org/GLM-OCRbase_model:quantized:zai-org/GLM-OCRendpoints_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/glm-ocr-gguf · nvidia/nvidia-nemotron-3-nano-4b-gguf