nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-GGUF

image-text-to-text model by nvidia

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NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB is a vision-language model (VLM) designed to run everyday agentic tasks locally, using a native 2-bit quantization to fit in 24GB of memory and run alongside other applications. It optimizes intelligence and speed per GB. It aims to achieve the optimal balance between speed and intelligence, being faster than most popular dense models while smarter than most popular MoE models with a similar memory footprint. This model is ready for commercial or non‑commercial use. Model Developer: NVIDIA Corporation Model Dates: December 2025 - May 2026 Data Freshness: NVIDIA Nemotron™ is a family of open models with open weights, training data, and recipes, delivering leading efficiency and accuracy for building specialized AI agents. For more details on how to deploy and use the model — see the Quick Start Guide below! Governing Terms: Use of the models is governed by the OpenMDW License Agreement, version…

nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-GGUF on Hugging Face A short preview, not the full document.

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Model overview

nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-GGUF is a image-text-to-text model repository published by nvidia on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: image-text-to-text
Library: transformers
Recent downloads (30 days): 92,763
Cumulative likes: 106
Hugging Face trending score: 105
Reported safetensors parameters: Not reported
Architecture: Not reported
License: other
Access: Not gated by Hugging Face
Created: 2026-10-07T19:15:58.000Z
Last modified: 2026-10-15T18:10:28.000Z

Compatibility and lineage

Reported languages: en, es, fr, de, it, ja

Reported base models: nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-22T06:44:02.555Z. Daily imports are snapshots, not real-time monitoring.

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