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batiai/Nemotron-3-Nano-30B-A3B-GGUF

sourceHugging Faceotherupdated 5mo agoView on Hugging Face
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Model Card

Nemotron 3 Nano 30B-A3B GGUF — Quantized by BatiAI

<p align="center"> <a href="https://flow.bati.ai"><img src="https://img.shields.io/badge/BatiFlow-macOS%20AI%20Automation-blue?style=for-the-badge&logo=apple" alt="BatiFlow"></a> <a href="https://ollama.com/batiai/nemotron3-nano"><img src="https://img.shields.io/badge/Ollama-batiai%2Fnemotron3--nano-green?style=for-the-badge" alt="Ollama"></a> </p>

Quantizations of NVIDIA Nemotron 3 Nano 30B-A3B (NemotronH MoE, hybrid Mamba+Attention) for on-device AI on Mac. Built and verified by BatiAI for BatiFlow.

Why Nemotron 3 Nano?

  • —30B params, only 3B active per token — A3B MoE architecture
  • —Hybrid Mamba + Attention — long context with linear scaling
  • —Reasoning + agentic — built for tool use, structured outputs
  • —Apache-spirit NVIDIA Open Model License — commercial-friendly
  • —Runs on a 32GB Mac with IQ3/IQ4

Quick Start

bash
ollama pull batiai/nemotron3-nano:iq4

Available Quantizations

QuantSizeVRAM targetRecommended For
IQ3_XXS17GB~20GB24–32GB Mac
IQ4_XS17GB~20GB32GB Mac (recommended)
Q5_K_M25GB~28GB36GB+ Mac (highest quality)

RAM Requirements

Your Mac RAMIQ3_XXS (17GB)IQ4_XS (17GB)Q5_K_M (25GB)
16GB⚠️ Heavy swap⚠️ Heavy swap❌
24GB✅✅❌
32GB✅ Fast✅ Recommended⚠️ Tight
36GB+✅✅✅ Best quality
48GB+✅✅✅ Headroom

Model Comparison — Which BatiAI Model for Your Mac?

Your MacBest ModelNotes
16GBbatiai/gemma4-e4b:q4Fast, lightweight
24GBbatiai/gemma4-26b:iq4 or batiai/nemotron3-nano:iq3Reasoning + tools
32GB`batiai/nemotron3-nano:iq4`Hybrid MoE, agentic
36GBbatiai/qwen3.5-35b:iq4Alibaba MoE
48GBbatiai/gemma4-31b:iq4 or batiai/nemotron3-nano:q5High quality
128GBbatiai/minimax-m2.7:iq3 (229B)Frontier on laptop

Why Nemotron-H Architecture?

NemotronH is NVIDIA's hybrid architecture combining Mamba state-space layers with standard attention:

  • —Linear scaling on long context (Mamba) + accuracy at short context (Attention)
  • —A3B MoE: 128 experts, 8 active per token
  • —49 layers with hybrid override pattern
  • —Trained on reasoning, code, and agentic data

Why BatiAI Quantization?

BatiAIThird-party (TheBloke, etc.)
SourceQuantized from official NVIDIA weightsRe-quantized from other GGUFs
Tested onReal Mac hardwareOften untested on consumer hardware
imatrix✅ Calibrated (200 chunks wikitext-2)Standard or none
Tool Calling✅ VerifiedOften untested
Korean✅ ValidatedNot tested

Technical Details

About BatiFlow

BatiFlow — free, on-device AI automation for Mac. 5MB app, 100% local, unlimited. 57+ built-in tools for calendar, notes, reminders, files, email, browser, messaging.

License

Quantized from nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16. License: NVIDIA Open Model License.

Benchmarks

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MachineQuantCold startPrompt evalToken genTested
MacBook Pro M4 Max 128GBIQ3_XXS1.599s208.95 t/s86.15 t/s2026-05-03
MacBook Pro M4 Max 128GBIQ4_XS1.589s206.43 t/s88.77 t/s2026-05-03
MacBook Pro M4 Max 128GBQ5KM5.036s179.26 t/s75.82 t/s2026-05-03

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