unsloth/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-GGUF

image-text-to-text model by unsloth

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See Unsloth Dynamic 3.0 GGUFs for our quantization benchmarks. NVIDIA Nemotron 3.5 Bolt 74B-A9B is a vision-language model (VLM) designed to run everyday agentic tasks locally. This is the full-precision (BF16) release of this model, intended primarily for customization and post-training rather than direct production inference. The 24GB version of this model uses a native 2-bit quantization to fit in 24GB of memory and run alongside other applications. 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. For latency- and throughput-optimized inference, use this 24GB version for llama.cpp or vLLM instead. 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…

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

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Inside the original model card — Document outline
  1. Read our How to Run Nemotron 3.5 Bolt Guide!
  2. NVIDIA-Nemotron-3.5-Bolt-74B-A9B
  3. Description
  4. Model Summary
  5. Model Overview
  6. What is Nemotron?
  7. Quick Start
  8. License/Terms of Use
  9. Benchmarks
  10. Deployment Geography: Global
  11. Use Case
  12. Release Date

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Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

unsloth/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-GGUF is a image-text-to-text model repository published by unsloth on Hugging Face. A library was not reported.

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
Not reported
Recent downloads (30 days)
39,635
Cumulative likes
82
Hugging Face trending score
82
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-10-14T15:25:16.000Z
Last modified
2026-10-16T13:25:22.000Z

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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Model card and usage instructions

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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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