LocalClaw/LLM/Apriel Nemotron 15B Thinker
Open-weight local LLM

Apriel Nemotron 15B Thinker

ServiceNow x NVIDIA mid-size reasoner. Half the memory of 32B reasoners with comparable performance on MBPP, BFCL, GPQA. Strong enterprise fit. MIT licensed.

16 GB sweet spot 16 GB RAM Q5_K_M Coding assistant
Run with LocalClaw Compare all models
Parameters
15B
Minimum RAM
16 GB
Model size
9.5 GB
Quantization
Q5_K_M

Can Apriel Nemotron 15B Thinker run locally?

Apriel Nemotron 15B Thinker is a practical pick for 16 GB machines, especially with Q5_K_M quantization.

Search for apriel-nemotron-15b-thinker in LM Studio or another GGUF-compatible runtime.

ServiceNow-AI/Apriel-Nemotron-15b-Thinker
reasoningcodepowergeneral

Install path

01
Check RAM fitMinimum 16 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch apriel-nemotron-15b-thinker in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • ServiceNow x NVIDIA mid-size reasoner. Half the memory of 32B reasoners with comparable performance on MBPP, BFCL, GPQA. Strong enterprise fit. MIT licensed.

Limitations

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

Best use cases

  • reasoning
  • code
  • power
  • general

Capability profile

speed
6
quality
8
coding
8
reasoning
9

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.

Starter desktopMac mini M4 16GBPortable fitMacBook Air M4 16GBBest 16GB models16GB RAM guide

Where to go next