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

Nemotron Mini (4B)

NVIDIA small model for RAG + roleplay + function calling. Compact and versatile. 107K downloads.

Laptop ready 6 GB RAM Q5_K_M Fast chat
Run with LocalClaw Compare all models
Parameters
4B
Minimum RAM
6 GB
Model size
2.5 GB
Quantization
Q5_K_M

Can Nemotron Mini (4B) run locally?

Nemotron Mini (4B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for nemotron-mini-4b-instruct in LM Studio or another GGUF-compatible runtime.

nvidia/Nemotron-Mini-4B-Instruct-GGUF
chatlightspeed

Install path

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

Strengths

  • NVIDIA small model for RAG + roleplay + function calling. Compact and versatile. 107K downloads.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • chat
  • light
  • speed

Capability profile

speed
9
quality
6
coding
5
reasoning
5

Technical notes

Developer
nemotron
License
See model repository
Context window
Unknown tokens
Architecture
See model card

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

Where to go next