LocalClaw/LLM/Llama-3.1-Nemotron (70B)
Open-weight local LLM

Llama-3.1-Nemotron (70B)

NVIDIA fine-tune of Llama 3.1 70B. Best-in-class instruction following and alignment. Ranked #1 on MT-Bench at release. Exceptional helpfulness and safety. Compatible with Mac (Apple Silicon 64GB). NVIDIA Open Model License.

64 GB workstation 48 GB RAM Q4_K_M Reasoning
Run with LocalClaw Compare all models
Parameters
70B
Minimum RAM
48 GB
Model size
42 GB
Quantization
Q4_K_M

Can Llama-3.1-Nemotron (70B) run locally?

Llama-3.1-Nemotron (70B) is best for 64 GB workstations and larger Apple Silicon or NVIDIA setups.

Search for llama-3.1-nemotron-70b-instruct in LM Studio or another GGUF-compatible runtime.

nvidia/Llama-3.1-Nemotron-70B-Instruct-GGUF
chatreasoningpowerqualitygeneral

Install path

01
Check RAM fitMinimum 48 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch llama-3.1-nemotron-70b-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • NVIDIA fine-tune of Llama 3.1 70B. Best-in-class instruction following and alignment. Ranked #1 on MT-Bench at release. Exceptional helpfulness and safety. Compatible with Mac (Apple Silicon 64GB). NVIDIA Open Model License.

Limitations

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

Best use cases

  • chat
  • reasoning
  • power
  • quality
  • general

Capability profile

speed
3
quality
9
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.

Workstation fitMac Studio M4 Max 64GBCUDA workstation classNVIDIA GB10 / DGX SparkLarge local models64GB RAM guide

Where to go next