MODEL PROFILE

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

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

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. 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.

Visual QAlicense:other
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/10/30 07:53:00
OVERVIEW

Model overview

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. 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.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:other。模型介绍与第三方评测均以原来源的具体版本和方法为准。