LocalClaw/LLM/Nemotron 3 Nano (4B)
Open-weight local LLM

Nemotron 3 Nano (4B)

Catalogue summary: NVIDIA compact hybrid model distilled from a 9B teacher, with hybrid attention and SSM layers. A lightweight option for local chat and reasoning under the NVIDIA Open Model License.

Repository editorial metadata; verify comparative claims in the linked upstream material.

6 GB catalogue minimum6 GB RAMQ5_K_MReasoning
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Parameters
4B
Minimum RAM
6 GB
Model size
2.8 GB
Quantization
Q5_K_M

Can Nemotron 3 Nano (4B) run locally?

Nemotron 3 Nano (4B) has a catalogue minimum of 6 GB RAM with Q5_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use nvidia-nemotron-3-nano-4b as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Public GGUF repository (verified 2026-09-07): nvidia/NVIDIA-Nemotron-3-Nano-4B-GGUFUpstream releasePaper or model cardLicence text
chatlightspeedreasoning

Install path

01
Check RAM fitMinimum 6 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch nvidia-nemotron-3-nano-4b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: nemotron-nano
  • Parameters: 4B
  • Recommended quantization: Q5_K_M
  • Catalogue minimum RAM: 6 GB
  • Catalogue model size: 2.8 GB
  • Tags: chat, light, speed, reasoning

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • chat
  • light
  • speed
  • reasoning

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
10
quality
7
coding
6
reasoning
7

Technical notes

Developer
NVIDIA
License
NVIDIA Open Model License
Context window
4,096 tokens
Architecture
Hybrid Transformer + SSM (Mamba-style layers) — distilled from 9B

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Entry laptop fitMacBook Air 8GBMore headroomMac mini M4 16GBAll compatible picks8GB RAM guide

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

Llama-3.1-Nemotron-Nano (4B) 4BPhi-3 (3.8B) 3.8BGranite 4.1 (3B) 3BLFM2.5-2.6B 2.7BLing-3.0-tiny 7.9B (1.3B active, MoE)MiniCPM5 1B 1BQwen 3 (4B) 4BGemma 3n (4B) 4B

Where to go next