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

Nemotron 3 Nano (4B)

Use case: Reasoning. Check the memory fit and choose a setup path below.

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

About 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.

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 2026-11-06): 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
Try your workloadStart with a short prompt, check memory use and adjust context length before running longer tasks.

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.

Reading the scores

LocalClaw /10 is an editorial catalogue rating. Community /5 comes from member reviews. Your machine fit is a separate memory and runtime assessment.

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

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